Shanghai Jiaotong University

Institute of Medical Robotics

Center for Image-guided Therapy and Interventions

CITI

Edited Books

book1

Computational Radiology for Orthopaedic Interventions


G Zheng and S Li

Springer, 2015. ISBN:978-3-319-23481-6
book2

Statistical Shape and Deformation Analysis: Methods, Implementations and Applications


G Zheng, S Li, G Szekely

Elsevier, 2017. ISBN: 978-0-12-810493-4
book3

Intelligent Orthopaedics: Artificial Intelligence and Smart Image-guided Technology for Orthopaedics


G Zheng, W Tian, and X Zhuang

Springer, 2018. ISBN: 978-981-13-1395-0.

Awards

  1. 2023 – Distinguished Reviewer of IEEE Transactions on Medical Imaging.
  2. 2023 – The 1st Place of Endoscopic Vision Challenge – Medtronic Pitvis Award – Category “Task 1 - Step Recognition”@MICCAI2023, Oct. 08, 2023, Vancouver.
  3. 2023 – The 1st Place of Endoscopic Vision Challenge – Medtronic Pitvis Award – Category “Task 3 – Step&Instrument Recognition”@MICCAI2023, Oct. 08, 2023, Vancouver.
  4. 2023 – Winner Finalist Award – FLARE 2023@MICCAI 2023, Oct. 08, 2023, Vancouver.
  5. 2022 – Distinguished Reviewer of IEEE Transactions on Medical Imaging.
  6. 2022 – Outstanding paper Award – AECAI, CARE, OR2.0 Joint Workshop@MICCAI 2022, Sep. 18, 2022. Singapore.
  7. 2022 – The 2nd Place of Endoscopic Vision Challenge - CholecTriplec 2022 @MICCAI2022, Sep. 18, 2022. Singapore.
  8. 2021 – Distinguished Reviewer of IEEE Transactions on Medical Imaging.
  9. 2019 – The First Prize of the 2019 Global Innovation Design Competition of Medical Robotics, Dec. 10, 2019. Shanghai, China.
  10. 2018 – FY2018 JSPS Invitational Fellowship for Research in Japan (Long-term), the Japan Society for the Promotion of Science.
  11. 2018 – The Best Technical Podium Presentation Award for our work on “Deep learning-based segmentation of lumbar vertebrae from CT images” in the 18th CAOS Annual Meeting (CAOS 2018), Beijing, China.
  12. 2018 – The Best Paper Award for our work on “Automated grading of Modic changes using CNNs – Improving the performance with Mixup” in the MICCAI 2018 International Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging, Granada, Spain.
  13. 2018 – The Springer Best Paper Award (1st Place) for our work on “Multi-scale fully convolutional densenets for automated skin lesion segmentation in dermoscopy images” in the 15th International Conference on Image Analysis and Recognition (ICIAR 2018), Póvoa de Varzim, Portugal.
  14. 2017 – The Best Paper Award for our work on “3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images” in the MICCAI 2017 Workshop on Machine Learning in Medical Imaging (MLMI 2017), Quebec City, Canada.
  15. 2017 – The 3rd Position out of 21 teams participating the MICCAI 2017 Infant Brain Image Segmentation Challenge.
  16. 2014 – Shape Modeling Grand Challenge Award in the 2014 Annual Conference on Statistical Shape Modeling, Delemont, Switzerland.
  17. 2014 – Poster Award for our work on “Fully automatic pelvis extraction from 3D CT data by combining random forest regression based landmark detection with atlas-based segmentation” in the 28th International Conference on Computer Assisted Radiology and Surgery (CARS 2014), Fukuoka, Japan.
  18. 2013 – Our paper entitled “Pelvic tilt is minimally changed by total hip arthroplasty” was selected as the cover page of Feb. 2013 issue of “Clinical Orthopaedics and Related Research”.
  19. 2012 – Prize for the Best Basic Science Article of the Year – 2011 published in the Journal of Laryngology and Otology for our paper entitled “Development of an auditory implant manipulator (AIMAN) for minimally invasive surgery of implantable hearing devices”.
  20. 2009 – Ypsomed Innovation Prize for Research and Development for our work on “System for high precision placement of acetabular cup in total hip”.
  21. 2009 – Best Poster Award for our work on “Accuracy of CT-based computer-navigated total hip arthroplasty” in the 69th Annual Meeting of Swiss Society for Orthopaedics and Traumatology.
  22. 2006 – The Best technical paper award for our work on “Accurate and robust recovery of distal locking holes in computer-assisted intramedullary nailing of femoral shaft fractures” in the 6th Annual Meeting of International Society of Computer Assisted Orthopaedic Surgery (CAOS 2006), Montreal, Canada.
  23. 2005 – Best paper award for our work on “Computer-assisted software for accurate determination of acetabular coverage in conventional radiography” in the Annual Meeting of Society of Skeletal Radiology.

Peer-reviewed Journal Papers

2024


  1. Sun W, Zou X and Zheng G*. A fully automatic fiducial detection and correspondence establishing method for online C-arm calibration. International Journal of Computer Assisted Radiology and Surgery, in press, 2024.
  2. R Tao, X Zou, X Gao, X Li, Z Wang, X Zhao, Zheng G* and Hang D*. Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data. International Journal of Computer Assisted Radiology and Surgery, in press, 2024.
  3. Y Luo, Q Yang, Z Liu, Z Shi, W Huang, Zheng G and Cheng J. Target-Guided Diffusion Models for Unpaired Cross-modality Medical Image Translation. IEEE Journal of Biomedical and Health Informatics, in press, 2024.
  4. Gao X, Zhong W, Wang R, Heimann AF, Tannast M, and Zheng G*. MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network. International Journal of Computer Assisted Radiology and Surgery, 19:507-517, 2024.
  5. Gao X and Zheng G*. SMILE: Siamese Multi-scale Interactive-representation LEarning for Hierarchical Diffeomorphic Deformable image registration. Computerized Medical Imaging and Graphics, 111, 102322, 2024.
  6. Wang J, Guo R, Miao Y, Xue S, Zhang Y, Shi K, Zheng G* and Li B*. Cross-Scanner Low-Dose Brain-PET Image Noise Reduction With Self-ensembling. IEEE Transactions on Radiation and Plasma Medical Sciences, 8(4):391 - 401, 2024.

2023


  1. Sun W, Zhao Y, Liu J and Zheng G*. LatentPCN: Latent Space-constrained Point Cloud Network for Reconstruction of 3DPatient-specific Bone Surface Models from Calibrated Biplanar X-ray Images. International Journal of Computer Assisted Radiology and Surgery, 2023, in press.
  2. Chen C, Liu P, Feng Y, Ye D, Fu C-C, Ye L, Song Y, Liu D, Zheng G*, Zhang C*. Diagnostic performance for severity grading of hip osteoarthritis and osteonecrosis of femoral head on radiographs: Deep learning model vs. board-certified orthopaedic surgeons. Osteoarthritis Imaging, 3:100092, 2023.
  3. Tao R, Huang B, Zou X, and Zheng G*. SVT-SDE: Spatiotemporal VisionTransformers-Based Self-SupervisedDepth Estimation in StereoscopicSurgical Video. IEEE Transactions on Medical Robotics and Bionics, 2023, 5(1):42-53.
  4. Zou X, Liu W, Wang J, Tao R, and Zheng G*. ARST: auto-regressive surgical transformer for phase recognition from laparoscopic videos. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023, in press.
  5. Nwoye C, Alapatt D, Yu T, Vardazayan A, Xia F, Zhao Z, Xia T, Jia F, Yang Y, Wang H, Yu D, Zheng G, Duan X, et al. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Analysis, 86:102803, 2023.
  6. Heimann AF, Schwab JM, Popa V, Zheng G* and Tannast M. Measurement of pelvic tilt and rotation on AP radiographs using HipRecon: Validation and comparison to other parameters. Journal of Orthopaedic Research, 41(8): 1746-1753, 2023.
  7. Liu P and Zheng G*. CVCL: Context-aware voxel-wise contrastive learning for label-efficient multi-organ segmentation. Computers in Biology and Medicine, 160:106995, 2023.
  8. Tao R, Zou X and Zheng G*. LAST: LAtent Space-constrained Transformers for Automatic Surgical Phase Recognition and Tool Presence Detection. IEEE Transactions on Medical Imaging, 42(11): 3256 - 3268, 2023.
  9. Nwoye C, Yu T, Sharma S, Murali A, Alapatt D, Vardazaryan A, Yuan K, Hajek J, Reiter W, Yamlahi A, Smidt F-H, Zou X, Zheng G, Oliverira B, et al. CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. Medical Image Analysis, 89:102888, 2023.
  10. Wu J, Li W, Xu L, Zheng G, Chen X and Shen C. Ligamentum teres tears and increased combined anteversion are associated with hip micro-instability in patients with borderline dysplasia. Arthroscopy - The Journal of Arthroscopic and Related Surgery, 5:S0749-8063(23)00531-5, 2023.
  11. Wang R, Zhou Q and Zheng G*. EDRL: Entropy-guided disentangled representation learning for unsupervised domain adaptation in semantic segmentation. Computer Methods and Programs in Biomedicine, 240: 107729, 2023.
  12. Wu J, Zou X, Tao R and Zheng G*. Nonlinear regression of remaining surgery duration from videos via Bayesian LSTM-based deep negative correlation learning. Computerized Medical Imaging and Graphics, 110:102314, 2023.
  13. Heimann AF, Brouze IF, Zheng G, Moosmann AM, Schwab JM, Tannast M and Zurmühle. Pelvic tilt afer Bernese periacetabular osteotomy—a long-term follow-up study. Journal of Hip Preservation Surgery, in press, 2023.

2022


  1. Zhou Q, Wang R, Zeng G, Fan H, and Zheng G*. Towards bridging the distribution gap: Instance to Prototype Earth Mover's Distance for distribution alignment. Medical Image Analysis, 2022, 82: 102607.
  2. Sun W, Liu J, Zhao Y, Zheng G*. A Novel Point Set Registration-Based Hand–Eye Calibration Method for Robot-Assisted Surgery. Sensors, 2022 Oct; 22:8446.
  3. Liu J, Sun W, Zhao Y, Zheng G*. Ultrasound Probe and Hand-Eye Calibrations for Robot-Assisted Needle Biopsy. Sensors, 2022 Dec; 22:9645.
  4. Liu P, Zhang M, Gao X, Li B*, and Zheng G*. Joint lymphoma lesion segmentation and prognosis prediction from baseline FDG-PET images via multitask convolutional neural networks. IEEE Access, 10:81612 – 81623, 2022.
  5. Zurmühle CA, Zickmantel B, Christen M, Christen B, Zheng G, Schwab JM, Tannast M, Steppacher SD. Image-Less THA Cup Navigation in Clinical Routine Setup: Individual Adjustments, Accuracy, Precision, and Robustness. Medicina, 58(6):832, 2022.
  6. Liu P., Zheng G*. Handling Imbalanced Data: Uncertainty-guided Virtual Adversarial Training with Batch Nuclear-norm Optimization for Semi-supervised Medical Image Classification. IEEE Journal of Biomedical and Health Informatics, in press.
  7. Huang Y, Zeng Z, Xu L-Y, Li Y, Peng J-P, Shen C*, Zheng G*, Chen X*. What factors are associated with postoperative ischiofemoral impingement after Bernese periacetabular osteotomy in developmental dysplasia of the hip. Clinical Orthopaedics and Related Research, 480：1694-1703, 2022.
  8. Van Houtte J*, Audenaert E, Zheng G*, Sijbers J. Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images. International Journal of Computer Assisted Radiology and Surgery, 2022, in press.
  9. Xu L, Huang Y, Li Y, Shen C*, Zheng G*, Chen X*. Increased combined anteversion is an independent predictor of ischiofemoral impingement in the setting of borderline dysplasia with coxa profunda. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 2022, in press.
  10. Tao R, Zhang S*, Wang Y, Mi X, Ma J, Shen C, Zheng G*. MCG-Net: End-to-end Fine-grained Delineation and Diagnostic Classification of Cardiac Events from Magnetocardiographs. IEEE Journal of Biomedical and Health Informatics, 2022 Mar; 26(3): 1057-1067.
  11. R Wang and G Zheng*. CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation. Medical Image Analysis, 2022, 76: 102328.
  12. Z Li, K Chen, P Liu, X Chen* and G Zheng*. Entropy and distance maps-guided segmentation of articular cartilage: data from the Osteoarthritis Initiative. International Journal of Computer Assisted Radiology and Surgery, 2022; 17: 553–560.
  13. Tao R, Liu W*, Zheng G*. Spine-Transformers: Vertebra Labeling and Segmentation in Arbitrary Field-of-View Spine CTs via 3D Transformers. Medical Image Analysis, 2022 Jan; 75:102258:1-12

2021


  1. G Zheng, D Zhang and W Zhao. Guest Editorial Multi-Modal Computing for Biomedical Intelligence Systems. IEEE Journal of Biomedical and Health Informatics, 2021, 25(9): 3256-3257.
  2. Zhang L, Shi Z, Cheng MM, Liu Y, Bian JW, Zhou JT, Zheng G, Zeng Z. Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans Pattern Analysis and Machine Intelligence, 2021 Mar;43(3):982-998. (Top 1% highly cited)
  3. Gao Y, Zhao Y, Xie L*, Zheng G*. A Projector-Based Augmented Reality Navigation System for Computer-Assisted Surgery. Sensors, 2021 21(9):2931.
  4. Stetzelberger VM, Moosmann AM, Zheng G, Schwab JM, Steppacher SD, Tannast M. Does the rule of thirds adequately detect deficient and excessive acetabular coverage. Clinical Orthopaedics and Related Research, 2021 Mar;479(5):974-987.
  5. Van Houtte J, Vandenberghe F, Zheng G, Huysman T, Sijbers J. EquiSim: An Open-Source Articulatable Statistical Model of the Equine Distal Limb. Frontiers in Veterinary Science, 03 March 2021

2020


  1. Zeng N, Zuo S, Zheng G, Ou Y, Tong T. Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data. Frontiers in Neuroscience, 21 May 2020
  2. Zeng G, Schmaranzer F, Degonda C, Gerber N, Gerber K, Tannast M, Burger J, Siebenrock KA, Zheng G, Lerch TD. MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation. European Journal of Radiology Open 2020 Dec 18;8:100303.
  3. Gerber N, Carrillo F, Abegg D, Sutter R, Zheng G*, Fürnstahl P. Evaluation of CT-MR image registration methodologies for 3D preoperative planning of forearm surgeries. Jorunal of Orthopaedic Research 2020 Feb 28. doi: 10.1002/jor.24641.
  4. Yun HH, Murphy WS, Ward DM, Zheng G, Hayden B, Murphy SB. Effect of pelvic tilt and rotation on cup orientation in standing anteroposterior radiographs. Hip International, 30(1):48-55, 2020.
  5. Postolka B, List R, Thelen B, Schütz P, Taylor WR, Zheng G. Evaluation of an intensity-based algorithm for 2D/3D registration of natural knee videofluoroscopy data. Medical Engineering & Physics. 2020 Mar;77:107-113.

2019


  1. Lerch TD, Boschung A, Todorski IAS, Steppacher SD, Schmaranzer F, Zheng G, Ryan MK, Siebenrock KA, Tannast M. Femoroacetabular Impingement Patients With Decreased Femoral Version Have Different Impingement Locations and Intra- and Extraarticular Anterior Subspine FAI on 3D-CT-Based Impingement Simulation: Implications for Hip Arthroscopy. American Journal of Sports Medicine 2019 Nov;47(13):3120-3132.
  2. Lerch TD, Degonda C, Schmaranzer F, Todorski I, Cullmann-Bastian J, Zheng G, Siebenrock KA, Tannast M. Patient-Specific 3-D Magnetic Resonance Imaging-Based Dynamic Simulation of Hip Impingement and Range of Motion Can Replace 3-D Computed Tomography-Based Simulation for Patients With Femoroacetabular Impingement: Implications for Planning Open Hip Preservation Surgery and Hip Arthroscopy. American Journal of Sports Medicine 2019 Oct;47(12):2966-2977.
  3. Zhuang X, Li L, Payer C, Štern D, Urschler M, Heinrich MP, Oster J, Wang C, Smedby Ö, Bian C, Yang X, Heng PA, Mortazi A, Bagci U, Yang G, Sun C, Galisot G, Ramel JY, Brouard T, Tong Q, Si W, Liao X, Zeng G, Shi Z, Zheng G, Wang C, MacGillivray T, Newby D, Rhode K, Ourselin S, Mohiaddin R, Keegan J, Firmin D, Yang G. Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Analysis 2019 Dec;58:101537.
  4. Zeng G, Zheng G*. Holistic decomposition convolution for effective semantic segmentation of medical volume images. Medical Image Analysis 2019 Oct;57:149-164.
  5. Arabi H, Zeng G, Zheng G, Zaidi H. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI. European Journal of Nuclear Medicine and Molecular Imaging, 2019 Dec;46(13):2746-2759.
  6. Wang L, Nie D, Li G, Puybareau E, Dolz J, Zhang Q, Wang F, Xia J, Wu Z, Chen J, Thung KH, Bui TD, Shin J, Zeng G, Zheng G, Fonov VS, Doyle A, Xu Y, Moeskops P, Pluim JPW, Desrosiers C, Ayed IB, Sanroma G, Benkarim OM, Casamitjana A, Vilaplana V, Lin W, Li G, Shen D. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging, 2019, 38(9): 2219-2230.
  7. Kuijf HJ, Biesbroek JM, de Bresser J, Heinen R, Andermatt S, Bento M, Berseth M, Belyaev M, Cardoso MJ, Casamitjana A, Collins DL, Dadar M, Georgiou A, Ghafoorian M, Jin D, Khademi A, Knight J, Li H, Llado X, Luna M, Mahmood Q, McKinley R, Mehrtash A, Ourselin S, Park BY, Park H, Park SH, Pezold S, Puybareau E, Rittner L, Sudre CH, Valverde S, Vilaplana V, Wiest R, Xu Y, Xu Z, Zeng G, Zhang J, Zheng G, Chen C, van der Flier W, Barkhof F, Viergever MA, Biessels GJ. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging, 2019 Nov;38(11):2556-2568.
  8. Schmaranzer F, Helfenstein R, Zeng G, Lerch TD, Novais EN, Wylie JD, Kim Y-J, Siebenrock KA, Tannast M, Zheng G. Automatic MRI-based Three-dimensional Models of Hip Cartilage Provide Improved Morphologic and Biochemical Analysis. Clinical Orthopaedics and Related Research, 2019 May;477(5):1036-1052.
  9. Zurmühle CA, Schmaranzer F, Nuss K, Wolfer N, Ryan MK, Zheng G, von Rechenberg B, and Tannast M. Proof of Concept: Hip Joint Damage Occurs at the Zone of Femoroacetabular Impingement (FAI) in an Experimental FAI Sheep Model. Osteoarthritis and Cartilage, 27(7):1075-1083, 2019.
  10. Soodmand E, Zheng G, Steens W, Bader R, Nolte L, Kluess D. Surgically Relevant Morphological Parameters of Proximal Human Femur: A Statistical Analysis Based on 3D Reconstruction of CT Data. Orthopaedic Surgery . 2019 Feb 27. doi: 10.1111/os.12416
  11. Damopoulos D, Lerch TD, Schmaranzer F, Tannast M, Chênes C, Zheng G*, Schmid J*. Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration. International Journal of Computer Assisted Radiology and Surgery. 2019 Mar;14(3):545-561. doi: 10.1007/s11548-018-1899-z. Epub 2019 Jan 2.

2018


  1. Maier-Hein L, Eisenmann M, Reinke A, Onogur S, Stankovic M, Scholz P, Arbel T, Bogunovic H, Bradley AP, Carass A, Feldmann C, Frangi AF, Full PM, van Ginneken B, Hanbury A, Honauer K, Kozubek M, Landman BA, März K, Maier O, Maier-Hein K, Menze BH, Müller H, Neher PF, Niessen W, Rajpoot N, Sharp GC, Sirinukunwattana K, Speidel S, Stock C, Stoyanov D, Taha AA, van der Sommen F, Wang CW, Weber MA, Zheng G, Jannin P, Kopp-Schneider A. Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications. Dec 6;9(1):5217. doi: 10.1038/s41467-018-07619-7.
  2. N Kamiya, J Li, M Kume, H Fujita, D Shen* and G Zheng*. Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications. International Journal of Computer Assisted Radiology and Surgery, 13(11):1697 – 1706, 2018.
  3. G Zheng*. Gravity-assisted navigation system for total hip arthroplasty. Advances in experimental medicine and biology, 1093:181-191, 2018.
  4. L Liu, K Siebenrock, LP Nolte and G Zheng. Biomechanical Optimization-Based Planning of Periacetabular Osteotomy. Advances in experimental medicine and biology, 1093:157-168, 2018.
  5. L Liu, K Siebenrock, LP Nolte and G Zheng. Computer-Assisted Planning, Simulation, and Navigation System for Periacetabular Osteotomy. Advances in experimental medicine and biology, 1093:143-155, 2018.
  6. W Yu and G Zheng*. Atlas-Based 3D Intensity Volume Reconstruction from 2D Long Leg Standing X-Rays: Application to Hard and Soft Tissues in Lower Extremity. Advances in experimental medicine and biology, 1093:105-112, 2018.
  7. G Zheng*, A Alcoltekin, B Thelen, LP Nolte. 3X-Knee: A Novel Technology for 3D Preoperative Planning and Postoperative Evaluation of TKA Based on 2D X-Rays. Advances in experimental medicine and biology, 1093:93-103, 2018.
  8. G Zeng and G Zheng*. Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images. Advances in experimental medicine and biology, 1093:73-79, 2018.
  9. W Yu, W Liu, L Tan, S Zhang, G Zheng*. Multi-object Model-Based Multiatlas Segmentation Constrained Grid Cut for Automatic Segmentation of Lumbar Vertebrae from CT Images. Advances in experimental medicine and biology, 1093:65-71, 2018.
  10. G Zheng* and LP Nolte. Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives. Advances in experimental medicine and biology, 1093:1-20, 2018.
  11. X Li, Q Dou, H Chen*, C-W Fu, X Qi, D.L. Belavy, G Armbrecht, D Felsenberg, G Zheng* and P-A Heng. 3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images. Medical Image Analysis, 45:41-54, 2018.
  12. G Zheng*, H Hommel, A Akcoltekin, B Thelen, J Stifter, G Peersman. A novel technology for 3D knee prosthesis planning and treatment evaluation using 2D X-ray radiographs: a clinical evaluation. International Journal of Computer Assisted Radiology and Surgery, 13:1151-1158, 2018.
  13. H Yun, WS Murphy, DM Ward, G Zheng, B Hayden, SB Murphy. Effect of Pelvic Tilt and Rotation on Cup Orientation in Both Supine and Standing Positions. The Journal of Arthroplasty, 33:1442-1448, 2018.
  14. S Pflugi, R Vasireddy, T Lerch, TM Ecker, M Tannast, N Boemke, K. Siebenrock, G Zheng*. Augmented marker tracking for peri-acetabular osteotomy surgery. International Journal of Computer Assisted Radiology and Surgery, 13:291-304, 2018.

2017


  1. KJ Simson, CT Miller, J Ford, A Hahne, L Main, T Rantalainen, WP Teo, M Teychenne, D Connell, G Trudel, G Zheng, G Thickbroom, DL Belavy. Optimising conservative management of chronic low back pain: study protocol for a randomised controlled trial. Trials, 18:184(1-13), 2017. doi: 10.1186/s13063-017-1913-8.
  2. K. Karasawa, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, C. Chu, G. Zheng, D. Rueckert, K. Mori. Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. Medical Image Analysis, 39:18-28, 2017.
  3. C Gökgöl, S Schumann, N Diehm, G Zheng and P Büchler. In-vivo quantification of femoro-popliteal artery deformations: percutaneous transluminal angioplasty vs. nitinol stent placement. Journal of Endovascular Therapy, 24:27-34, 2017.
  4. S. Schumann, C. Gökgöl, N. Diehm, P. Büchler, G. Zheng. The effect of stent implantation on the deformations of the SFA and the popliteal artery: In-vivo 3D deformational analysis from 2D radiographs. Journal of Vascular and Interventional Radiology, 28:142-146, 2017.
  5. W Yu, M Tannast, G Zheng*. Non-rigid free-form 2D-3D registration using a B-spline-based statistical deformation model. Pattern Recognition, 63:689-699, 2017.
  6. G Zheng*, C Chu, DL Belavy, B Ibragimov, R Korez, T Vrtovec, H Hutt, R Everson, J Meakin, IL Andrade, B Glocker, H Chen, Q Dou, PA Heng, C Wang, D Forsberg, A Neubert, J Fripp, M Urschler, D Stern, M Wimmer, AA Novikov, H Cheng, G Armbrecht, D Felsenberg, S Li. Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: a grand challenge. Medical Image Analysis, 35:327-344, 2017.
  7. S. Berger, C. Hasler,O. C.A. Grant, G. Zheng, S. Schumann, P. Büchler. A software program to measure the three-dimensional length of the spine from radiographic images: validation and reliability assessment for adolescent idiopathic scoliosis. Computer Methods and Programs in Biomedicine, 138:57-64, 2017.
  8. B Huang, G Zheng, Z Xu, S Rao and S Wang. Application of image processing techniques in molecular imaging of cancer. Contrast Media & Molecular Imaging, 2017:2758749. doi: 10.1155/2017/2758749. eCollection 2017.

2016


  1. W Yu, C Chu, M Tannast, and G Zheng*. Fully Automatic Reconstruction of Personalized 3D Volumes of the Proximal Femur from 2D X-ray Images. International Journal of Computer Assisted Radiology and Surgery, 11:1673-1685, 2016.
  2. M Constantinescu, SL Lee, N Navkar, S Al-Rawas, J Abinahed, W Yu, G Zheng, A Al-Ansari, N Jomaah, P Landreau, GZ Yang. Constrained Statistical Modelling of Knee Flexion from Multi-Pose Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging, 35:1686-1695, 2016.
  3. M. Valenti, G. Ferrigno, D. Martina, W. Yu, G. Zheng, M.A. Shandiz, C. Anglin and E. De Momi. Gaussian Mixture Models based 2D-3D registration of bone shapes for orthopaedic surgery planning. Medical & Biological Engineering & Computing, 54:1727-1740, 2016.
  4. J. M. Jennings, T.R. Randell, C. L. Green, G. Zheng, S.S. Wellman. Independent evaluation of a mechanical hip socket navigation system in total hip arthroplasty. The Journal of Arthroplasty, 31:658-661,2016.
  5. M. Valenti, E. De Momi, W. Yu, G. Ferrigno, M.A. Shandiz, C. Anglin, G. Zheng. Fluoroscopy-based tracking of femoral kinematics with statistical shape models. International Journal of Computer Assisted Radiology and Surgery, 11:757-765, 2016.
  6. L. Liu, G. Zheng, JD Bastian, MJ Keel, LP Nolte, KA Siebenrock, TM Ecker. Periacetabular osteotomy through the pararectus approach: technical feasibility and control of fragment mobility by a validated surgical navigation system in a cadaver environment. International Orthopaedics, 40:1389-1396, 2016.
  7. S. Pflugi, L. Liu, T. M. Ecker, S. Schumann, J. Cullmann-Bastian, K. Siebenrock, G. Zheng*. A cost-effective surgical navigation solution for periacetabular osteotomy (PAO) surgery. International Journal of Computer Assisted Radiology and Surgery, 11:271-280, 2016.
  8. L. Liu, TM Ecker, S Schumann, KA Siebenrock, G. Zheng. Evaluation of Constant Thickness Cartilage Models vs. Patient Specific Cartilage Models for an Optimized Computer-Assisted Planning of Periacetabular Osteotomy. PLOS ONE, 11(1):e0146452, 2016; doi: 10.1371/journal.pone.0146452.
  9. Schumann S, Bieck R, Bader R, Heverhagen J, Nolte LP, Zheng G*. Radiographic reconstruction of lower-extremity bone fragments: a first trial. International Journal of Computer Assisted Radiology and Surgery, 11:2241-2251, 2016.

2010 - 2015


  1. H. Cheng, L. Liu, W. Yu, H. Zhang, D. Luo, G. Zheng*. Comparison of 2.5D and 3D quantification of femoral head coverage in normal control subjects and patients with hip dysplasia. PLOS ONE, 10(11):e0143498, 2015; doi: 10.1371/journal.pone.0143498.
  2. C. Chu, D.L. Belavy, G. Armbrecht, M. Bansmann, D. Felsenberg, G. Zheng*. Fully automatic localization and segmentation of 3D vertebral bodies from CT/MR images via a learning-based method. PLOS ONE, 10(11):e0143327, 2015; doi: 10.1371/journal.pone.0143327.
  3. L. Liu, T. Ecker, L. Xie, S. Schumann, K. Siebenrock, G. Zheng*. Biomechanical Validation of Computer Assisted Planning of Periacetabular Osteotomy: A Preliminary Study based on Finite Element Analysis. Medical Engineering & Physics, 37:1169-1173, 2015.
  4. S. Schumann, Y. Sato, Y. Nakanishi, F. Yokota, M. Takao, N. Sugano, G. Zheng. Cup implant planning based on 2-D/3-D radiographic pelvis reconstruction - first clinical results. IEEE Transactions on Biomedical Engineering, 62:2665-73, 2015.
  5. C. Chu, J. Bai, X. Wu, G. Zheng*. Multi-Atlas Segmentation Constrained Graph Method for Accurate Segmentation of Hip CT Images. Medical Image Analysis, 26:173-184, 2015.
  6. C. Chen, D. Belavy, W. Yu, C. Chu, G. Armbrecht, M. Bansmann, D. Felsenberg, G. Zheng*. Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation. IEEE Transactions on Medical Imaging, 34:1719-1729, 2015.
  7. C-W Wang, C-T Huang, M-C Hsieh, CH Li, SW Chang, WC Li, R Vandaele, R Marée, S Jodogne, P Geurts, C Chen, G Zheng, C Chu, H Mirzaalian, G Hamarneh, T Vrtovec, B Ibragimov. Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Transactions on Medical Imaging, 34:1890-1900, 2015.
  8. C. Chen, R. Kojcev, D. Haschtmann,T. Fekete, L. Nolte, G. Zheng*. Ruler based automatic C-arm image stitching without overlapping constraint. Journal of Digital Imaging, 28:474-480, 2015.
  9. C. Chu, C. Chen, L. Liu, G. Zheng*. FACTS: Fully Automatic CT Segmentation of A Hip Joint. Annals of Biomedical Engineering, 43:1247-1259, 2015.
  10. S. Berger, O. Marcello, S. Schumann, J. Schneider, D. Studer, C. Hasler, G. Zheng, P. Büchler. Patient-specific spinal stiffness in AIS: a preoperative and noninvasive method. European Spine Journal, 24:249-255, 2015.
  11. M. Tannast, M.S. Hanke, G. Zheng, S.D. Steppacher, K.A. Siebenrock. What Are the Radiographic Reference Values for Acetabular Under- and Overcoverage? Clinical Orthopaedics and Related Research, 473:1234-1246, 2015.
  12. W Xie, J. Franke, C Chen, PA Grützner, S Schumann, LP Nolte, G Zheng*. A complete-pelvis segmentation framework for image-free total hip arthroplasty (THA): methodology and clinical study. The International Journal of Medical Robotics and Computer Assisted Surgery, 11:166-180, 2015.
  13. M Tannast, S Fritsch, G Zheng, KA Siebenrock, SD Steppacher. Which Radiographic Hip Parameters Do Not Have to Be Corrected for Pelvic Rotation and Tilt? Clinical Orthopaedics and Related Research, 473:1255-1266, 2015.
  14. G. Zheng*, L-P Nolte. Computer-assisted orthopaedic surgery: current state and future perspective. Frontiers in Surgery, 2:66. doi: 10.3389/fsurg.2015.00066., 2015.
  15. G Zheng*, S Li. Medical image computing in diagnosis and interventions of spinal diseases. Computerized Medical Imaging and Graphics, 45:99-101, 2015.
  16. P Büchler, ME de Oliveria, D Studer, S Schumann, G Zheng, J Schneider, CC Hasler. Axial suspension test to assess pre-operative spinal flexibility in patients with adolescent idiopathic scoliosis. European Spine Journal, 23:2619-2625, 2014.
  17. B Craiovan, T Renkawitz, M Weber, J Grifka, L-P Nolte, G Zheng*. Is the acetabular cup orientation after total hip arthroplasty on a two dimension or three dimension model accurate? International Orthopaedics, 38:2009-2015, 2014.
  18. C Cheng, G Zheng. Fully automatic segmentation of AP pelvic X-rays via random forest regression with efficient feature selection and hierarchical sparse shape composition. Computer Vision and Image Understanding, 126:1-10, 2014.
  19. S Schumann, B Thelen, S Ballestra, L-P Nolte, P Büchler, G Zheng*. X-ray image calibration and its application to clinical orthopedics. Medical Engineering & Physics, 36(7):968-74, 2014.
  20. B. Helgason, S Gilchrist, O Ariza, JD Chak, G Zheng, RP Widmer, SJ Ferguson, P Guz, PA Cripton. Development of a balanced experimental-computational approach to understanding the mechanics of proximal femur fractures. Medical Engineering & Physics, 36(7):968-74, 2014.
  21. W Xie, J Franke., C Chen, P Grützner, S Schumann, LP Nolte, G Zheng*. Statistical model-based segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs. International Journal of Computer Assisted Radiology and Surgery, 9:165-76, 2014.
  22. C Chen*, W Xie, J Franke, P Grutzner, LP Nolte, G Zheng*. Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements. Medical Image Analysis, 18:487-499, 2014.
  23. S Schumann, L-P Nolte, G Zheng*. Comparison of partial least squares regression and principal component regression for pelvic shape prediction. Journal of Biomechanics, 46:197 – 199, 2013.
  24. WS Murphy, G Klingenstein, SB Murphy, G Zheng. Pelvic tilt is minimally changed by total hip arthroplasty. Clinical Orthopaedics and Related Research, 471:417-421, 2013.
  25. S. Schumann, L. Liu, M. Tannast, M. Bergmann, LP Nolte, G. Zheng*. An integrated system for 3D hip joint reconstruction from 2D X-rays: a preliminary validation study. Annals of Biomedical Engineering, 41:2077-2087, 2013.
  26. S Schumann, L-P Nolte, and G Zheng. Determination of pelvic orientation from sparse ultrasound data for THA operated in the lateral position. International Journal of Medical Robotics and Computer Assisted Surgery, 8: 107 – 113, 2012.
  27. S Schumann, L-P Nolte, and G Zheng*. Compensation of sound speed deviations in 3-D B-mode ultrasound for intraoperative determination of the anterior pelvic plane. IEEE Transactions on Information Technology in Biomedicine (now renamed as IEEE Journal of Biomedical and Health Informatics), 16:88-97, 2012.
  28. G Zheng*, J von Recum, LP Nolte, PA Grützner, SD Steppacher, J Franke. Validation of a statistical shape model-based 2D/3D reconstruction method for determination of cup orientation after THA. International Journal of Computer Assisted Radiology and Surgery, 7:225-231, 2012.
  29. ME de Oliveria, C-C Hasler, G Zheng, D Studer, J Schneider, P Büchler. A multi-criteria decision support for optimal instrumentation in scoliosis spine surgery. Structural and Multidisciplinary Optimization, 45:917-929, 2012.
  30. J. Franke, G. Zheng, K. Wendl, P.a. Grützner, J. von Recum. Clinical experience with computer navigation in revision total hip arthroplasty. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 226:919-926, 2012.
  31. G Zheng*, Lutz-P Nolte, Stephen J Ferguson. Scaled, patient-specific 3D vertebral model reconstruction based on 2D lateral fluoroscopy. International Journal of Computer Assisted Radiology and Surgery, 6:351-66, 2011.
  32. C Stieger, M Caversaccio, A Arnold, G Zheng, J Salzmann, D Widmer, N Gerber, M Thurner, C Nauer, Y Mussard, M Kompis, L P Nolte, R Häusler, S Weber. Development of an auditory implant manipulator (AIMAN) for minimally invasive surgical insertion of implantable hearing devices. The Journal of laryngology and otology, 125:262-270, 2011.
  33. G Zheng*, X Zhang. Computer assisted determination of acetabular cup orientation using 2D-3D image registration. International Journal of Computer Assisted Radiology and Surgery, 5:437-447, 2010.
  34. G Zheng*, S Schumann, MA González Ballester. An integrated approach for reconstructing a surface model of the proximal femur from sparse input data and a multi-resolution point distribution model: an in vitro study. International Journal of Computer Assisted Radiology and Surgery, 5:99-107, 2010.
  35. G Zheng*. Assessing the accuracy factors in the determination of postoperative acetabular cup orientation using hybrid 2D-3D registration. Journal of Digital Imaging, 23:769-779, 2010.
  36. G Zheng*. Statistical shape model-based reconstruction of a scaled, patient-specific surface model of the pelvis from a single standard AP x-ray radiograph. Medical Physics, 37: 1424-1439, 2010.
  37. G Zheng*. Effective incorporating spatial information in a mutual information based 3D-2D registration of a CT volume to X-ray images. Computerized Medical Imaging and Graphics, 34:553-562, 2010.
  38. G Zheng*. Statistically deformable 2D/3D registration for estimating post-operative cup orientation from a single standard AP X-ray radiograph. Annals of Biomedical Engineering, 38:2910-2927, 2010.
  39. S Schumann, M Tannast, L-P Nolte, G Zheng. Validation of statistical shape model based reconstruction of the proximal femur--A morphology study. Medical Engineering & Physics 32:638-644, 2010.

2000 - 2009


  1. G Zheng*, X Zhang, SD Steppacher, SB Murphy, KA Siebenrock, M Tannast. HipMatch: an object-oriented cross-platform program for accurate determination of cup orientation using 2D-3D registration of single standard X-ray radiograph and a CT volume. Computer Methods and Programs in Biomedicine, 95:236-248, 2009.
  2. G Zheng*, S Gollmer, S Schumann, X Dong, T Feilkas, MA González Ballester. A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images. Medical Image Analysis, 13:883-899, 2009.
  3. G Zheng*, X Zhang. Robust automatic detection and removal of fiducial projections in fluoroscopy images: an integrated solution. Medical Engineering & Physics, 31:571-580, 2009.
  4. X Dong, G Zheng*. Automatic extraction of proximal femur contours from calibrated X-ray images using 3D statistical models: an in vitro study. International Journal of Medical Robotics and Computer Assisted Surgery, 5:213-222, 2009.
  5. G Zheng*, S Schumann. 3D reconstruction of a patient-specific surface model of the proximal femur from calibrated x-ray radiographs: a validation study. Medical Physics, 36:1155-1166, 2009.
  6. X Dong, G Zheng*. Matching parameterized shapes by nonparametric belief propagation. International Journal of Pattern Recognition and Artificial Intelligence, 23:209 – 246, 2009.
  7. G Zheng*, X Zhang. A novel parameter decomposition based optimization approach for automatic pose estimation of distal locking holes from single calibrated fluoroscopic image. Pattern Recognition Letters, 30:838-847, 2009.
  8. R Thoranaghatte, J Garcia, M Caversaccio, D Widmer, MA Gonzalez Ballester, L-P Nolte, G Zheng. Landmark-based augmented reality system for paranasal and transnasal endoscopic surgeries. International Journal of Medical Robotics and Computer Assisted Surgery, 5:415-422, 2009.
  9. SD Steppacher, M Tannast, G Zheng, X Zhang, J Kowal, SE Anderson, KA Siebenrock, SB Murphy. Validation of a new method for determination of cup orientation in THA. Journal of Orthopaedic Research, 27:1583-1588, 2009.
  10. G Zheng*, X Dong, PA Gruetzner. Reality-augmented virtual fluoroscopy for computer-assisted diaphyseal long bone fracture osteosynthesis: a novel technique and feasibility study results. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 222:101-115, 2008.
  11. G Zheng*, X Zhang, D Haschtmann, P Gedet, X Dong, L-Peter Nolte. A robust and accurate two-stage approach for automatic recovery of distal locking holes in computer-assisted intramedullary nailing of femoral shaft fractures. IEEE Transactions on Medical Imaging, 27:171-187, 2008.
  12. M Rossol, D Gygax, J Andritzky-Waas, G Zheng, CJ Lischer, X Zhang, JA Auer. Comparison of computer assisted surgery with conventional technique for treatment of abaxial distal phalanx fractures in horses: an in vitro study. Veterinary Surgery, 37:32-42, 2008.
  13. M Caversaccio, G Zheng, L - P Nolte. Computer-aided surgery of the paranasal sinuses and the anterior skull base. HNO, 56:376-378, 2008.
  14. J García, R Thoranaghatte, G Marti, G Zheng, M Caversaccio, MA González Ballester. Calibration of a surgical microscope with automated zoom lenses using an active optical tracker. International Journal of Medical Robotics and Computer Assisted Surgery, 4:87-93, 2008.
  15. M Tannast, S Mistry, SD Steppacher, S Reichenbach, F Langlotz, KA Siebenrock, G Zheng. Radiographic analysis of femoroacetabular impingement with Hip2Norm-reliable and validated. Journal of Orthopaedic Research, 26:1199-1205, 2008.
  16. M Caversaccio, J Garcia Giraldez, R Thoranaghatte, G Zheng, P Eggli, L-P Nolte, MA Gonzalez Ballester. Augmented reality endoscopic system (ARES): preliminary results. Rhinology, 46:156-158, 2008.
  17. G Zheng*, X Dong, PAlfred Grutzner, L-P Nolte. Automated detection and segmentation of cylindrical fragments from calibrated C-arm images for long bone fracture reduction. Computer Methods and Programs in Biomedicine, 87:1-11, 2007.
  18. B Maier, G Zheng, C Ploss, X Zhang, K Welle, L-P Nolte, I Marzi. A CT-free, intra-operative planning and navigation system for minimally invasive anterior spinal surgery - an accuracy study. Computer Aided Surgery, 12:233-241, 2007.
  19. G Zheng*, M Tannast, C Anderegg, K A Siebenrock, F Langlotz. Hip2Norm: an object-oriented cross-platform program for 3D analysis of hip joint morphology using 2D pelvic radiographs. Computer Methods and Programs in Biomedicine, 87:36-45, 2007.
  20. KT Rajamani, MA Styner, H Talib, G Zheng, L-P Nolte, MA González Ballester. Statistical deformable bone models for robust 3D surface extrapolation from sparse data. Medical Image Analysis, 11:99-109, 2007.
  21. G. Zheng*, X. Zhang, D. Haschtmann, P. Gédet, F. Langlotz, L-P Nolte. Accurate and reliable pose recovery of distal locking holes in computer-assisted intra-medullary nailing of femoral shaft fractures: a preliminary study. Computer Aided Surgery, 12:138-151, 2007.
  22. G Zheng*, X Dong, KT Rajamani, X Zhang, M Styner, RU Thoranaghatte, L-P Nolte, MA González Ballester. Accurate and robust reconstruction of a surface model of the proximal femur from sparse-point data and a dense-point distribution model for surgical navigation. IEEE Transactions on Biomedical Engineering, 54:2109-2122, 2007.
  23. S Hankemeier, T Hufner, G Wang, D Kendoff, J Zeichen, G Zheng, C Krettek. Navigated open-wedge high tibial osteotomy: advantages and disadvantages compared to the conventional technique in a cadaver study. Knee Surgery, Sports Traumatology, Arthroscopy, 14:917-921, 2006.
  24. S Jonic, P Thévenaz, G Zheng, and M Unser. An optimized spline-based registration of a 3D CT to a set of C-arm images. Internaional Journal of Biomedical Imaging, volume 2006, article 047197, https://www.hindawi.com/journals/ijbi/2006/047197/.
  25. G Zheng*, B Maier, C Ploss, I Marzi, L-P Nolte. Computer-assisted, fluoroscopy-based ventral spondylodesis of thoracolumbar fractures. Technology and Health Care, 14:109-122, 2006.
  26. X Zhang, G Zheng*, F Langlotz, L-P Nolte. Assessment of spline-based 2D-3D registration for image-guided spine surgery. Minimally Invasive Therapy & Allied Technologies, 15:193-199, 2006.
  27. M Tannast, G Zheng, C Anderegg, K Burckhardt, F Langlotz, R Ganz, KA Siebenrock. Tilt and rotation correction of acetabular version on pelvic radiographs. Clinical Orthopaedics and Related Research, 438:182-190, 2005.
  28. PA Grützner, F Langlotz, G Zheng, J von Recum, C Keil, L-P Nolte, A Wentzensen, K Wendl. Computer-assisted LISS plate osteosynthesis of proximal tibia fractures: feasibility study and first clinical results. Computer Aided Surgery, 10:141-149, 2005.
  29. S Hankemeier, T Hufner, G Wang, D Kendoff, G Zheng, M Richter, T Gosling, L-P Nolte, C Krettek. Navigated intraoperative analysis of lower limb alignment. Archives of Orthopaedic and Trauma Surgery, 125:531-535. 2005.
  30. G Wang, G Zheng*, P Keppler, F Gebhard, A Staubli, U Mueller, D Schmucki, S Fluetsch, L-P Nolte. Implementation, accuracy evaluation, and preliminary clinical trial of a CT-free navigation system for high tibial opening wedge osteotomy. Computer Aided Surgery, 10:73-85, 2005.
  31. S Sagbo, F Blochaou, F Langlotz, C Vangenot, L - P Nolte, G Zheng. New orthopaedic implant management tool for computer-assisted planning, navigation, and simulation: from implant CAD files to a standardized XML-based implant database. Computer Aided Surgery, 10:73-85, 2005.
  32. RU Thoranaghatte, G Zheng, F Langlotz, L-P Nolte. Endoscope-based hybrid navigation system for minimally invasive ventral spine surgeries. Computer Aided Surgery, 10:351-356, 2005.
  33. G Wang, G Zheng*, PA Gruetzner, U Mueller-Alsbach, J von Recum, A Staubli, L-P Nolte. A fluoroscopy-based surgical navigation system for high tibial osteotomy. Technology and Health Care, 13:469-483, 2005.
  34. G Zheng*, A Marx, U Langlotz, K-H Widmer, M Buttaro, L-P Nolte. A hybrid CT-free navigation system for total hip arthroplasty. Computer Aided Surgery, 7:129-145, 2002.
  35. G Zheng, M Caversaccio, R Bächler, F Langlotz, L P Nolte, R Häusler. Frameless optical computer-aided tracking of a microscope for otorhinology and skull base surgery. JAMA Otolaryngology--Head & Neck Surgery, 127:1233-123, 2001.
  36. G Zheng*, J Kowal, MA Gonzalez Ballester, M Caversaccio, L-P Nolte. Registration techniques for computer navigation. Current Orthopaedics 21:170 – 179, 2007.
  37. D Schmucki, F Gebhard, PA Grützner, T Hüfner, F Langlotz, G Zheng. Computer aided reduction and imaging. Injury, 35 Suppl 1:S-A96-104, 2004.
  38. PA Grützner, G Zheng, U Langlotz, J von Recum, L-P Nolte, A Wentzensen, K-H Widmer, K Wendl. C-arm based navigation in total hip arthroplasty-background and clinical experience. Injury, 35 Suppl 1:S-A90-95, 2004.
  39. P Keppler, F Gebhard, PA Grützner, G Wang, G Zheng, T Hüfner, S Hankemeier, L-P Nolte. Computer aided high tibial open wedge osteotomy. Injury, 35 Suppl 1:S-A68-78, 2004.
  40. A Wentzensen, G Zheng, B Vock, U Langlotz, J Korber, L-P Nolte, PA Grützner. Image-based hip navigation. International Orthopaedics, 27 Suppl 1: S43-S46, 2003.

Peer-reviewed Conference Papers

Conference Abbreviations:

MICCAI – International Conference on Medical Image Computing and Computer Assisted Intervention

CVPR – International Conference on Computer Vision and Pattern Recognition

ISBI – The IEEE International Symposium on Biomedical Imaging (ISBI)

MICCAI-MLMI – The MICCAI International Workshop on Machine Learning in Medical Imaging

IEEE-EMBC – The IEEE Engineering in Medicine and Biology Annual Conference

MIAR – International Conference on Medical Imaging and Augmented Reality

IPCAI – International Conference on Information Processing in Computer Assisted Interventions

IROS – International Conference on Intelligent Robots

2023


  1. Q Zhou, P Liu and G Zheng*. Partially Supervised Multi-organ Segmentation via Affinity-Aware Consistency Learning and Cross Site Feature Alignment. MICCAI (2) 2023: 671–680.
  2. J Wang, AF Heimann, M Tannast and G Zheng*. CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance Image. MICCAI (1) 2023: 497–507.
  3. Q Zhou and G Zheng*. FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-Aware Aggregation. MICCAI (2) 2023: 660–670.
  4. X Gao, R Wang, R Tao and G Zheng*. Semantics-Preserved Domain Adaptation with Target Diverse Perturbation and Test Ensembling for Image Segmentation. Asian-Pacific Conference on Medical and Biological Engineering. 2023: 128-135.
  5. X Zou, D Yu, R Tao and G Zheng*. An End-to-End Spatial-Temporal Transformer Model for Surgical Action Triplet Recognition. Asian-Pacific Conference on Medical and Biological Engineering. 2023: 114-120.
  6. W Sun, Y Zhao, J Liu and G Zheng*. 2D/3D Reconstruction of Patient-Specific Surface Models and Uncertainty Estimation via Posterior Shape Models. Asian-Pacific Conference on Medical and Biological Engineering. 2023: 121-127.

2022


  1. P Liu, G Zheng*. Context-Aware Voxel-Wise Contrastive Learning for Label Efficient Multi-organ Segmentation. MICCAI (4) 2022: 653-662.
  2. R Wang, Q Zhou, G Zheng*. Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning. MICCAI (4) 2022: 514-523
  3. J Wang, R Wang, R Tao, G Zheng*. UASSR: Unsupervised Arbitrary Scale Super-Resolution Reconstruction of Single Anisotropic 3D Images via Disentangled Representation Learning. MICCAI (6) 2022: 453-462.
  4. J Wu, R Tao, G Zheng*. Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning. MICCAI (8) 2022: 421-430.
  5. Y Lin, H Yao, Z Li, G Zheng*, X Li*. Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation. MICCAI (8) 2022: 109-118.
  6. X Gao, R Tao, and G Zheng*. BIDMIR: Bi-Directional Medical Image Registration with Symmetric Attention and Cyclic Consistency Regularization. ISBI, 2022 Mar 28 (pp. 1-5). IEEE.
  7. X Gao, G Zheng*. ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion. ICIMH 2022: 57-63.

2021


  1. Zeng G, Lerch TD, Schmaranzer F, G Zheng*, Berger J, Gerber K, Tannast M, Siebenrock K, Gerber N. Semantic Consistent Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation. MICCAI 2021: 201-210, 2021
  2. Tao R, G Zheng*. Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers. MICCAI 2021: 93-103, 2021
  3. Liu P, G Zheng*. Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization. MLMI@MICCAI 2021: 199-208, 2021
  4. Wang R, G Zheng*. Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization. MLMI@MICCAI 2021: 517-526, 2021
  5. J Van Houtte, X Gao, J Sijbers, G Zheng*. 2D/3D Registration with a Statistical Deformation Model Prior Using Deep Learning. BHI 2021: 1-4, 2021
  6. X Gao, J Van Houtte, Z Chen, G Zheng*. DeepASDM: a Deep Learning Framework for Affine and Deformable Image Registration Incorporating a Statistical Deformation Model. BHI 2021: 1-4, 2021
  7. R Wang and G Zheng*. Disentangled Representation Learning For Deep MR To CT Synthesis Using Unpaired Data. ICIP 2021: 274 – 278, 2021

2020


  1. Guodong Zeng, Florian Schmaranzer, Till D. Lerch, Adam Boschung, Guoyan Zheng*, Jürgen Burger, Kate Gerber, Moritz Tannast, Klaus Siebenrock, Young-Jo Kim, Eduardo N. Novais, Nicolas Gerber. “Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI." MICCAI 2020.

2019


  1. G. Zeng and G Zheng*. 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images. MICCAI (2) 2019: 146-154, 2019.
  2. G. Zeng and G Zheng*. Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis Using Unpaired Data. MICCAI (4) 2019: 759-767.

2018


  1. Z Shi, G Zeng, L Zhang, X Zhuang, L Li, G Yang and G Zheng*. VoxDRN: a probabilistic deep voxelwise dilated residual network for whole heart segmentation from 3D MR images. MICCAI (4) 2018:569 – 577, 2018.
  2. Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein. How to exploit weaknesses in biomedical challenge design and organization. MICCAI (4) 2018: 388 – 395, 2018.
  3. Z Shi, L Zhang, Y Liu, X Cao, M-M Cheng and G Zheng. Crowd counting with deep negative correlation learning. CVPR 2018, pp. 5382 – 5390, 2018.
  4. W Yu, W Liu, L Tan, S Zhang and G Zheng*. Affinely registered multi-object atlases as shape prior for grid cut segmentation of lumbar vertebrae from CT images. ICIAR 2018:90-95, 2018.
  5. G Zeng and G Zheng*. Multi-scale fully convolutional densenets for automated skin lesion segmentaiton in dermoscopy images. ICIAR 2018:513-521, 2018.
  6. N Kamiya, M Kume, G Zheng, X Zhou, H Kato, H Chen, C Muramatsu, T Hara, T Miyoshi, M Matsuo, H Fujita. Automatied recognition of erector spinae muscles and their skeletal attachment region via deep learning in torso CT images. MSKI@MICCAI 2018:1-10, 2018.
  7. P Kulyk, L Vlachopoulos, P Fürnstahl, and G Zheng* (2018): Fully automatic planning of total shoulder arthroplasty without segmentation: a deep learning based approach. MSKI@MICCAI 2018:22-34, 2018.
  8. G Zeng, Q Wang, TD Lerch, F Schmaranzer, M Tannast, KA Siebenrock and G Zheng*. Latent3DU-net: multi-level latent shape space constrained 3D U-net for automatic segmentation of the proximal femur from radial MRI of the hip. MLMI@MICCAI 2018:188-196, 2018.
  9. G Zeng and G Zheng*. Deep volumetric shape learning for semantic segmentation of the hip joint from 3D MR images. MSKI@MICCAI 2018:35-48, 2018.
  10. G Zeng and G Zheng*. Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation. ISBI 2018, pp. 136-140, 2018.
  11. R Janssens, G Zeng and G Zheng*. Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks. ISBI 2018, pp. 893-897, 2018.

2017


  1. G. Zeng and G Zheng*. 3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images. MLMI@MICCAI2017, pp. 274-282, 2017.
  2. G. Zeng and G Zheng*: DSMS-FCN: A deeply supervised multi-scale fully convolutional network for automatic segmentation of intervertebral disc in 3D MR images. MSKI@MICCAI2017: 148-159, 2017
  3. D Damopoulos, B Glocker, and G Zheng: Automatic localization of the lumbar vertebral landmarks in CT images with context features. MSKI@MICCAI 2017: 59-71
  4. W Yu and G. Zheng*: Atlas-Based 3D Intensity Volume Reconstruction of Musculoskeletal Structures in the Lower Extremity from 2D Calibrated X-Ray Images. BIVPCS/POCUS@MICCAI 2017: 35-43
  5. S Pflugi, R Vasireddy T Lerch, TM Ecker, M Tannast, N Boemke, K-A Siebenrock and G Zheng. Augmented marker tracking for peri-acetabular osteotomy surgery. IEEE-EMBC 2017:937-941, 2017.

2016


  1. L Liu, TM Ecker, K-A Siebenrock, G Zheng. Computer Assisted Planning, Simulation and Navigation of Periacetabular Osteotomy. MIAR 2016: 15-26, 2016.
  2. S Pflugi, R Vasireddy, L Liu, TM Ecker, T Lerch, K-A Siebenrock, G Zheng. A Cost-Effective Navigation System for Peri-acetabular Osteotomy Surgery. MIAR 2016: 84-95, 2016.
  3. W Yu, G Zheng*. Atlas-Based Reconstruction of 3D Volumes of a Lower Extremity from 2D Calibrated X-ray Images. MIAR 2016: 366-374, 2016.
  4. G Zheng, S Schumann, A Alcoltekin, B Jaramaz, L-P Nolte. Patient-Specific 3D Reconstruction of a Complete Lower Extremity from 2D X-rays. MIAR 2016: 404-414, 2016
  5. C. Chu, M. Takao, T. Ogawa, F. Yokota, Y. Sato and G. Zheng*. Statistical Shape Modeling of Compound Musculoskeletal Structures Around the Thigh Region. ISBI 2016, pp. 885-888, 2016.
  6. X Ji, G Zheng, D Belavy, D Ni: Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks. CSI@MICCAI 2016: 38-48.
  7. X Ji, G Zheng, L Liu, D Ni: Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN. CSI@MICCAI 2016: 92-101.

2010 - 2015


  1. G Zheng and W Yu. Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation Model. MLMI@MICCAI 2015: 102-109, 2015.
  2. W Yu and G Zheng*. 2D-3D Regularized Deformable B-Spline Registration: Application to the Proximal Femur. ISBI 2015, pp. 829-832, 2015.
  3. C Chu, W Yu, S Li, G Zheng* (2015): Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework. CSI@MICCAI 2015: 141-149
  4. W Yu, P Zysset, G Zheng* (2015): Personalized x-ray reconstruction of the proximal femur via a non-rigid 2D-3D registration. SPIE Medical Imaging: Image Processing 2015: 94133B
  5. L Liu, T Ecker, S Schumann, K-A Siebenrock, G Zheng* (2014): Preliminary Study on Finite Element Simulation for Optimizing Acetabulum Reorientation after Periacetabular Osteotomy. ISBMS 2014: 155-162
  6. S Balestra, S Schumann, J Heverhagen, LP Nolte, G Zheng*. Articulated Statistical Shape Model-Based 2D-3D Reconstruction of A Hip Joint. IPCAI 2014, pp. 128-137, 2014
  7. L Liu, T Ecker, S Schumann, K-A Siebenrock, L-P Nolte, G Zheng*. Computer Assisted Planning and Navigation of Periacetabular Osteotomy with Range of Motion Optimization. MICCAI 2014, vol. 2, pp. 643-650, 2014
  8. C Chen, D. Belavy, G Zheng. 3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification. MLMI@MICCAI 2014, pp. 50-58, 2014.
  9. G Zheng. 3D volumetric intensity reconstruction from 2D x-ray images using partial least squares regression. ISBI 2013, pp.1268-1271, 2013.
  10. C Chen, W Xie, J Franke, Pl A Grützner, L-P Nolte, G Zheng*. Fully Automatic X-Ray Image Segmentation via Joint Estimation of Image Displacements. MICCAI 2013. vol. 3, pp. 227-234, 2013
  11. S. Schumann, M. Tannast, M. Bergmann, M. Thali, L-P Nolte, G. Zheng*. A hierarchical strategy for reconstruction of 3D acetabular surface models from 2D calibrated X-ray images. IPCAI 2012, pp. 74-83, 2012.
  12. W. Xie, S. Schumann, J. Franke, PA Grützner, L-P Nolte, G. Zheng. Finding deformable shapes by correspondence-free instantiation and registration of statistical shape model. MLMI@MICCAI 2012, pp. 258-265, 2012.
  13. S. Schumann, X. Dong, M. Puls, L-P Nolte, G. Zheng*. Calibration of C-arm for orthopaedic interventions via statistical model-based distortion correction and robust phantom detection. ISBI 2012, pp. 1204-1207, 2012.
  14. G Zheng, S Echeverri, W Xie, L-P Nolte. PS-GANS: a patient-specific, gravity assisted navigation system for acetabular cup placement. IPCAI 2011, pp. 101-112, 2011.
  15. W Xie, LP Nolte, G Zheng. ECM versus ICP for point registration. IEEE-EMBC 2011, pp. 2131-2135, 2011.
  16. G Zheng. Personalized X-ray reconstruction of the proximal femur via intensity-based non-rigid 2D-3D registration. MICCAI 2011, vol.2, pp. 598 – 606, 2011
  17. G Zheng, N Gerber, D Widmer, C Stieger, M Caversaccio, L-P Nolte, S Weber. Automated detection of fiducial screws from CT/DVT volume data for image-guided ENT surgery. IEEE-EMBC 2010: 2325-2328, 2010.
  18. S Schumann, M Puls, T Ecker, T Schwaegli, J Stifter, K-A Siebenrock, G Zheng*. Determination of Pelvic Orientation from Ultrasound Images Using Patch-SSMs and a Hierarchical Speed of Sound Compensation Strategy. IPCAI 2010, pp. 157-167, 2010.

2000 - 2009


  1. J Salzmann, G Zheng*, N Gerber, C Stieger, AM Arnold, U Rohrer, L-P Nolte, M Caversaccio, S Weber. Development of a miniature robot for hearing aid implantation. IROS 2009, pp. 2149-2154, 2009.
  2. G Zheng. Statistically Deformable 2D/3D Registration for Accurate Determination of Post-operative Cup Orientation from Single Standard X-ray Radiograph. MICCAI 2009, vol. 1, pp. 820-827, 2009
  3. S Schumann, G Zheng*, L-P Nolte. Calibration of X-ray radiographs and its feasible application for 2D/3D reconstruction of the proximal femur. IEEE-EMBC 2008, pp. 470-473, 2008
  4. X Zhang, G Zheng*. Robust automatic detection and removal of fiducial projections in fluoroscopy images: an integrated solution. IEEE-EMBC 2008, pp.78-81, 2008.
  5. RU Thoranaghatte, JG Giraldez, G Zheng. Landmark based augmented reality endoscope system for sinus and skull-base surgeries. IEEE-EMBC 2008, pp.74-77, 2008.
  6. G Zheng, S Schumann. 3-D reconstruction of a surface model of the proximal femur from digital biplanar radiographs. IEEE-EMBC 2008, pp.66-69, 2008.
  7. X Dong, G Zheng*. Automatic extraction of femur contours from calibrated x-ray images: A Bayesian inference approach. ISBI 2008, pp. 57-60, 2008.
  8. X Dong, G Zheng*. Automatic Extraction of Proximal Femur Contours from Calibrated X-Ray Images Using 3D Statistical Models. MIAR 2008, pp. 421-429, 2008.
  9. G Zheng. Effective Incorporation of Spatial Information in a Mutual Information Based 3D-2D Registration of a CT Volume to X-Ray Images. MICCAI 2008, vol. 2, pp. 922-929, 2008.
  10. X Zhang, G Zheng*. Precise Pose Recovery of Distal Locking Holes From Single Calibrated Fluoroscopic Image via a Novel Variable Decomposition Approach. ISBI 2007, pp. 1156-1159, 2007.
  11. G Zheng, X Dong, MÁngel González Ballester. Unsupervised Reconstruction of a Patient-Specific Surface Model of a Proximal Femur from Calibrated Fluoroscopic Images. MICCAI 2007, vol.1, pp. 834-841, 2007.
  12. G Zheng, SD. Steppacher, X Zhang, M Tannast. Precise Estimation of Postoperative Cup Alignment from Single Standard X-Ray Radiograph with Gonadal Shielding. MICCAI 2007, vol. 2, pp. 951-959, 2007.
  13. G Zheng, Lutz-Peter Nolte. Surface Reconstruction of Bone from X-ray Images and Point Distribution Model Incorporating a Novel Method for 2D-3D Correspondence. CVPR 2006, pp. 2237-2244, 2006
  14. G Zheng, X Zhang, L-P Nolte. A class of novel point similarity measures based on MAP-MRF framework for 2D-3D registration of X-ray fluoroscopy to CT images. ISBI 2006, pp. 438-441, 2006.
  15. X Dong, G Zheng*. Finding Deformable Shapes by Point Set Matching Through Nonparametric Belief Propagation. MIAR 2006, pp. 60-67, 2006.
  16. G Zheng, X Dong, L-P Nolte. Robust and Accurate Reconstruction of Patient-Specific 3D Surface Models from Sparse Point Sets: A Sequential Three-Stage Trimmed Optimization Approach. MIAR 2006, pp. 68-75, 2006.
  17. G Zheng, X Zhang, L-P Nolte. Automatic Pose Recovery of the Distal Locking Holes from Single Calibrated Fluoroscopic Image for Computer-Assisted Intramedullary Nailing of Femoral Shaft Fractures. MIAR 2006, pp. 195-202, 2006.
  18. G Zheng, MÁngel González Ballester, MA Styner, L-P Nolte. Reconstruction of Patient-Specific 3D Bone Surface from 2D Calibrated Fluoroscopic Images and Point Distribution Model. MICCAI 2006, vol. 1, pp. 25-32, 2006.
  19. G Zheng, KT Rajamani, X Zhang, X Dong, M Styner, L-P Nolte. Kernel regularized bone surface reconstruction from partial data using statistical shape model. IEEE-EMBC 2005, pp. 6579-6582, 2005.
  20. G Zheng, X Dong, X Zhang, L-P Nolte. Automated detection and segmentation of diaphyseal bone fragments from registered C-arm images for long bone fracture reduction. IEEE-EMBC 2005, pp.4361-4364, 2005.
  21. R Thoranaghatte, G Zheng, L-P Nolte. Novel method for registering an endoscope in an operative setup. IEEE-EMBC 2005, pp.4349-4352, 2005.
  22. S Sagbo, G Marti, C Di Venuto, C Vangenot, L-P Nolte, G Zheng. Design and implementation of deformation algorithms for computer assisted orthopedic surgery: application to virtual implant database and preliminary results. IEEE-EMBC 2005, pp. 6946-6949, 2005.
  23. G Zheng, X Zhang, L-P Nolte. Assessing Spline-Based Multi-resolution 2D-3D Image Registration for Practical Use in Surgical Guidance. MIAR 2004, pp. 294-301, 2004.
  24. G Wang, G Zheng*, PA Grützner, J von Recum, L-P Nolte. A CT-Free Intraoperative Planning and Navigation System for High Tibial Dome Osteotomy. MICCAI 2004, vol. 2, pp. 610-620, 2004.

Patents

  1. G Zheng, X Dong and L-P Nolte (2018). Method and devices for patient-specific acetabular component alignment in total hip arthroplasty. US Patent No US9889023B2. Date of Patent: 13. Feb., 2018
  2. G Zheng and S Schumann (2017). Image distortion correction and robust phantom detection. US Patent No.: US9743892B2. Data of Patent: 29 Aug., 2017
  3. G Zheng, X Dong and L-P Nolte (2017). Method and devices for patient-specific acetabular component alignment in total hip arthroplasty. European Patent No. EP2442757. Date of Patent: 02. Feb., 2017.
  4. G. Zheng and X. Zhang (2013). Method and devices for computer assisted distal locking of intramedullary nails. US Patent No. US8444645B2. Date of Patent: May 21, 2013.
  5. G. Zheng and X. Zhang (2012). Method and devices for computer assisted dital locking of intramedullary nails. US Patient No. US8118818B2. Date of Patent: Feb. 21, 2012.
  6. T. Feilkas and G. Zheng (2011). Shape reconstruction using X-ray images. US Patent No. US8055046B2. Date of Patent: Nov. 8, 2011.
  7. G. Zheng and X. Zhang. Method and device for computer assisted distal locking of intramedullary nails. European Patient No. EP1968468B1. Date of Patent: Dec. 29, 2010.
  8. G. Zheng and L.-P. Nolte. Method for establishing a three-dimensional representation of a bone from image data. US Patent No. US7117027B2. Date of Patent: Oct. 3, 2006

Proceedings

  1. T Vrtovec, J Yao, G Zheng and JM Pozo (Eds.). Computational Methods and Clinical Applications in Musculoskeletal Imaging – the 6th International Workshop and Challenge, MSKI2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 10734, Springer 2019, ISBN 978-3-030-11166-3.
  2. B Glocker, J Yao, T Vrtovec, AF. Frangi, G Zheng (Eds.). Computational Methods and Clinical Applications in Musculoskeletal Imaging – the 5th International Workshop and Challenge, MSKI2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10734, Springer 2018, ISBN 978-3-319-74112-3.
  3. G Zheng, H Liao, P Jannin, P Cattin and S-L Lee (Eds.). Medical Imaging and Augmented Reality – The 7th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016. Proceedings, Lecture Notes in Computer Science 9805, Springer, 2016, ISBN 978-3-319-43774-3
  4. J Yao, T Vrtovec, G Zheng, AF. Frangi, B Glocker, S Li (Eds.). Computational Methods and Clinical Applications for Spine Imaging - 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10182, Springer 2016, ISBN 978-3-319-55049-7
  5. T Vrtovec, J Yao, B Glocker, T Klinder, AF Frangi, G Zheng and S Li (Eds.). Computational Methods and Clinical Applications for Spine Imaging – The 3rd International Workshop and Challenge, CSI2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Proceedings. Lecture Notes in Computer Science 9402, Springer 2016, ISBN 978-3-319-41826-1
  6. H Liao, CA. Linte, K Masamune, TM. Peters, G Zheng (Eds.). Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th International Workshop, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Lecture Notes in Computer Science 8090, Springer 2013, ISBN 978-3-642-40842-7