郑国焱,博士,教授
上海交通大学医疗机器人院影像导航介入中心主任 地址:上海市闵行区东川路上海交通大学转化医学大楼二楼 邮编:200240 Email: [email protected] guoyan.[email protected] Tel: 13062730961 |
简介
郑国焱,博士,现任上海交通大学医疗机器人研究院影像导航介入中心主任,教授。在加入上海交通大学之前任瑞士伯尔尼大学副教授。拥有近20年从事计算机辅助治疗和智能图像计算交叉学科跨领域工作经验,拥有在世界知名高校进行科学研究,团队建设,国际学术合作和同工业界及临床伙伴进行技术转化的实际操作能力。他和他的团队不但开发出多套在计算机辅助治疗领域的世界首创系统,而且还提出了多种基于统计形状和变形模型,机器学习,深度学习,图论,离散优化的分割,配准和从少量二维数据重建三维体数据的核心算法和专利。相关科研成果发表在计算机视觉及医疗图像和计算机辅助治疗方面的国际顶级会议CVPR,MICCAI及国际著名期刊Nature Communications, Medical Image Analysis (MedIA),IEEE Transactions on Medical Imaging (TMI),IEEE Transactions on BioMedical Engineering (TBME),Annals of Biomedical Engineering (ABME),Pattern Recognition(PR)等杂志上。他共发表200多篇经同行评议的国际期刊和会议论文,其中108篇是国际期刊论文,全部为SCI收录,累计总影响因子达286.277。近两年在世界上最大的两家出版商施普林格(Springer)和爱思唯尔(Elsevier)编写出版著作3部。同时获得了8项国际专利。他和他领导的团队获得国际大会最佳论文奖,国际期刊最佳基础论文奖和创新研发大奖等十多项国际性奖励。
郑国焱教授是国际医学图像计算和计算机辅助治疗学会(International Society of Medical Image Computing and Computer Assisted Interventions (MICCAI))的理事会成员。国际医学图像计算和计算机辅助治疗学会是目前在相关领域世界上最权威的组织。每年该学会组织的MICCAI国际会议是医学图像计算和计算机辅助治疗方面的顶级会议,论文录取率仅为30%左右。郑教授于2018年6月被国际计算机辅助骨科手术学会(International Society of Computer Assisted Orthopaedic Surgery (CAOS))选举为执行委员会(Executive Board)成员,任期3年。
郑国焱教授这些年与行业的许多包括美国的DepuySynthes公司,德国的BrainLab公司,英国的Corin公司,瑞士的Mathys公司和Medivation公司等在内的主要业界领导企业建立了良好的协作关系。通过与这些公司联合开发知识产权和进一步研发高准确度的科研算法,他研发的算法和系统可更直接地结合到这些公司的产品中,加速了科研和技术的产业化。合作过程中,双方也建立了良好的信任。郑国焱教授这些年也与国际上的许多著名医院包括瑞士伯尔尼的小岛医院(Inselspital),苏黎世的Schulthess医院和Balgrist医院,德国海德堡大学在路德维希港的附属医院,德国雷根斯堡大学医院,德国柏林大学Charite医学院,日本大阪大学医学院,美国新英格兰浸会医院和哈佛医学院,建立了良好的合作关系。这种紧密的合作保证了科研与临床的紧密结合,使他能够在临床大数据上测试并提高申请人开发的算法的准确度。
郑国焱,博士,现任上海交通大学医疗机器人研究院影像导航介入中心主任,教授。在加入上海交通大学之前任瑞士伯尔尼大学副教授。拥有近20年从事计算机辅助治疗和智能图像计算交叉学科跨领域工作经验,拥有在世界知名高校进行科学研究,团队建设,国际学术合作和同工业界及临床伙伴进行技术转化的实际操作能力。他和他的团队不但开发出多套在计算机辅助治疗领域的世界首创系统,而且还提出了多种基于统计形状和变形模型,机器学习,深度学习,图论,离散优化的分割,配准和从少量二维数据重建三维体数据的核心算法和专利。相关科研成果发表在计算机视觉及医疗图像和计算机辅助治疗方面的国际顶级会议CVPR,MICCAI及国际著名期刊Nature Communications, Medical Image Analysis (MedIA),IEEE Transactions on Medical Imaging (TMI),IEEE Transactions on BioMedical Engineering (TBME),Annals of Biomedical Engineering (ABME),Pattern Recognition(PR)等杂志上。他共发表200多篇经同行评议的国际期刊和会议论文,其中108篇是国际期刊论文,全部为SCI收录,累计总影响因子达286.277。近两年在世界上最大的两家出版商施普林格(Springer)和爱思唯尔(Elsevier)编写出版著作3部。同时获得了8项国际专利。他和他领导的团队获得国际大会最佳论文奖,国际期刊最佳基础论文奖和创新研发大奖等十多项国际性奖励。
郑国焱教授是国际医学图像计算和计算机辅助治疗学会(International Society of Medical Image Computing and Computer Assisted Interventions (MICCAI))的理事会成员。国际医学图像计算和计算机辅助治疗学会是目前在相关领域世界上最权威的组织。每年该学会组织的MICCAI国际会议是医学图像计算和计算机辅助治疗方面的顶级会议,论文录取率仅为30%左右。郑教授于2018年6月被国际计算机辅助骨科手术学会(International Society of Computer Assisted Orthopaedic Surgery (CAOS))选举为执行委员会(Executive Board)成员,任期3年。
郑国焱教授这些年与行业的许多包括美国的DepuySynthes公司,德国的BrainLab公司,英国的Corin公司,瑞士的Mathys公司和Medivation公司等在内的主要业界领导企业建立了良好的协作关系。通过与这些公司联合开发知识产权和进一步研发高准确度的科研算法,他研发的算法和系统可更直接地结合到这些公司的产品中,加速了科研和技术的产业化。合作过程中,双方也建立了良好的信任。郑国焱教授这些年也与国际上的许多著名医院包括瑞士伯尔尼的小岛医院(Inselspital),苏黎世的Schulthess医院和Balgrist医院,德国海德堡大学在路德维希港的附属医院,德国雷根斯堡大学医院,德国柏林大学Charite医学院,日本大阪大学医学院,美国新英格兰浸会医院和哈佛医学院,建立了良好的合作关系。这种紧密的合作保证了科研与临床的紧密结合,使他能够在临床大数据上测试并提高申请人开发的算法的准确度。
工作经历
从2019.01起 教授 (Professor),上海交通大学医疗机器人研究院
2015.05 - 2019.01 副教授 (Associate Professor),伯尔尼大学外科技术和生物力学研究所
2011.01 - 2015.04 高级讲师 (Privatdozent),伯尔尼大学外科技术和生物力学研究所
2005.01 - 2010.12 研究员 (Research Fellow),伯尔尼大学外科技术和生物力学研究所
2003.01 - 2004.12 博士后 (Post-doc),瑞士伯尔尼大学Maurice E Müller生物力学研究所
教育经历
1999.09 - 2002.12 博士,瑞士伯尔尼大学Maurice E Müller生物力学研究所
1992.08 - 1995.07 硕士,广州第一军医大学生物医学工程系
1988.08 - 1992.07 学士,广州第一军医大学生物医学工程系
1999.09 - 2002.12 博士,瑞士伯尔尼大学Maurice E Müller生物力学研究所
1992.08 - 1995.07 硕士,广州第一军医大学生物医学工程系
1988.08 - 1992.07 学士,广州第一军医大学生物医学工程系
学术成就和奖励 (Selected List)
- 2018 - FY2018 Japan Society for the Promotion of Science (JSPS) Invitational Fellowship for Research in Japan (Long-term), the Japan Society for the Promotion of Science (JSPS)
- 2018 – The Best Paper Award in the MICCAI 2018 International Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging, Granada, Spain
- 2018 - The Springer Best Paper Award (1st Place) in the 15th International Conference on Image Analysis and Recognition (ICIAR 2018), Póvoa de Varzim, Portugal
- 2018 - The Best Technical Podium Presentation Award (2nd Place) in the 18th Annual Meeting of the International Society of Computer Assisted Orthopaedic Surgery (CAOS 2018), Beijing, China
- 2017 - The Best Paper Award in the MICCAI 2017 Workshop on Machine Learning in Medical Imaging (MLMI 2017)
- 2017 - The 3rd Position out of 21 teams participating the MICCAI 2017 Infant Brain Image Segmentation Challenge
- 2014 - Shape Modeling Grand Challenge Award in the 2014 Annual Conference on Statistical Shape Modeling, Delemont, Switzerland
- 2014 - Best Poster Award in the 28th International Congress on Computer Assisted Radiology and Surgery (CARS 2014), Fukuoka, Japan
- 2013 – A co-authored paper was selected as the cover page of Feb. 2013 issue of “Clinical Orthopaedics and Related Research”
- 2012 – A co-authored paper won Best Basic Science Article of the Year – 2011 published in the Journal of Laryngology and Otology
- 2009 - Ypsomed Innovation Prize for Research and Development
- 2009 - Best Poster Award in the 69th Annual Meeting of Swiss Society for Orthopaedics and Traumatology
- 2006 - Best technical paper award in the 6th Annual Meeting of International Society for Computer Assisted Orthopaedic Surgery (CAOS-International)
- 2005 - Best paper award in the Annual Meeting of Society of Skeletal Radiology
编著
编辑论文集
- G Zheng and S Li. Computational Radiology for Orthopaedic Interventions. Springer, 2015. ISBN:978-3-319-23481-6
- G Zheng, S Li, G Szekely. Statistical Shape and Deformation Analysis: Methods, Implementations and Applications. Elsevier, 2017. ISBN: 978-0-12-810493-4.
- G Zheng, W Tian, and X Zhuang. Intelligent Orthopaedics: Artificial Intelligence and Smart Image-guided Technology for Orthopaedics. Springer, 2018. ISBN: 978-981-13-1395-0
编辑论文集
- 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
- 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
- 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
- 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
- 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
- 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
近5年发表论文 (Selected List)
- 2019
- 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 Trans Med Imaging, in press, 2019
- 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 Trans Med Imaging, in press, 2019
- 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, in press 2019
- 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, in press, 2019.
- 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. Orthop Surg. 11(1):135-142, 2019 Feb 27. doi: 10.1111/os.12416
- D Damopoulos, TD Lerch, F Schmaranzer, M Tannast, C Chênes, G Zheng , J Schmid. 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, 14(3):545-561, 2019.
- F Schmaranzer, R Helfenstein, TD Lerch, G Zeng, M Tannast, EN Novais, JD Wylie, Y-J Kim, KA Siebenrock, M Tannast and G Zheng. Automatic MRI-based three-dimensional models of hip cartilage provide improved morphologic and biomechanical analysis. Clinical Orthopaedics and Related Research, 477(5):1036-1052, 2019.
- 2018
- L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, T Arbel, H Bogunovic, A P. Bradley, A Carass, C Feldmann, A F Frangi, P M. Full, B van Ginneken, A Hanbury, K Honauer, M Kozubek, B A. Landman, K März, O Maier, K H Maier-Hein, B Menze, H Müller, P F. Neher, W Niessen, N Rajpoot, G Sharp, K Sirinukunwattana, S Speidel, C Stock, D Stoyanov, A Aziz Taha, F van der Sommen, C-W Wang, M-A Weber, G Zheng, P Jannin, A Kopp-Schneider. Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications, 9(1):article5217, 2018.
- 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
- X Li, Q Dou, H Chen, C-W Fu, X Qi, D.L. Belavy, G Armbrecht, D Felsenberg, G Zheng* and P-A Heng* (2018). 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. (* Co-senior authorship)
- G Zheng, H Hommel, A Akcoltekin, B Thelen, J Stifter, G Peersman (2018). 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(8):1151-1158; 2018
- H Yun, WS Murphy, DM Ward, G Zheng, B Hayden and SB Murphy (2018). Effect of Pelvic Tilt and Rotation on Cup Orientation in Both Supine and Standing Positions. The Journal of Arthroplasty, 33(5):1442-1448, 2018
- S Pflugi, R Vasireddy, T Lerch, TM Ecker, M Tannast, N Boemke, K. Siebenrock and G Zheng (2018). Augmented marker tracking for peri-acetabular osteotomy surgery. International Journal of Computer Assisted Radiology and Surgery, 13:291-304; 2018
- 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. (The student won MICCAI 2018 travel award.)
- 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
- 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.
- 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
- 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.
- 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.
- G Zeng and G Zheng. Multi-scale fully convolutional densenets for automated skin lesion segmentaiton in dermoscopy images. ICIAR 2018:513-521, 2018.
- 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
- 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
- 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.
- 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
- G Zheng. Gravity-assisted navigation system for total hip arthroplasty. Advances in experimental medicine and biology, 1093:181-191, 2018
- 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
- 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
- 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
- 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
- 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
- W Yu, W Liu, L Tan, S Zhang, G Zheng. Multi-object Model-Based Multi-atlas Segmentation Constrained Grid Cut for Automatic Segmentation of Lumbar Vertebrae from CT Images. Advances in experimental medicine and biology, 1093:65-71, 2018
- 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
- 2017
- 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(1):184, 2017 doi: 10.1186/s13063-017-1913-8
- K. Karasawa, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, C. Chu, G. Zheng, D. Rueckert, K. Mori (2017). Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. Medical Image Analysis, 39:18-28, 2017
- C Gökgöl, S Schumann, N Diehm, G Zheng and P Büchler (2017). In-vivo quantification of femoro-popliteal artery deformations: percutaneous transluminal angioplasty vs. nitinol stent placement. Journal of Endovascular Therapy, 24(1):27-34, 2017
- S. Schumann, C. Gökgöl, N. Diehm, P. Büchler, G. Zheng (2017). 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(1):142-146, 2017
- W Yu, M Tannast, and G Zheng (2017). Non-rigid free-form 2D-3D registration using a B-spline-based statistical deformation model. Pattern Recognition, 63:689 - 699, 2017
- G Zheng, C Chu, DL Belavy, et al. (2017). 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
- S. Berger, C. Hasler,O. C.A. Grant, G. Zheng, S. Schumann, P. Büchler (2017). 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
- 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
- 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.
- G. Zeng and G. Zheng: 3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images. MICCAI 2017 Workshop on Machine Learning in Medical Imaging (MLMI 2017), MLMI@MICCAI 2017: 274-282
- 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
- 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
- 2016
- W Yu, C Chu, M Tannast, and G Zheng (2016). 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
- M Constantinescu, SL Lee, N Navkar, S Al-Rawas, J Abinahed, W Yu, G Zheng, A Al-Ansari, N Jomaah, P Landreau, GZ Yang (2016). Constrained Statistical Modelling of Knee Flexion from Multi-Pose Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 35:1686-1695, 2016
- M. Valenti, G. Ferrigno, D. Martina, W. Yu, G. Zheng, M.A. Shandiz, C. Anglin and E. De Momi (2016). Gaussian Mixture Models based 2D-3D registration of bone shapes for orthopaedic surgery planning. Journal of Medical & Biological Engineering & Computing, 54:1727-1740, 2016
- J. M. Jennings, T.R. Randell, C. L. Green, G. Zheng and S.S. Wellman (2016). Independent evaluation of a mechanical hip socket navigation system in total hip arthroplasty. Journal of Arthroplasty, 31:658-661,2016
- M. Valenti, E. De Momi, W. Yu, G. Ferrigno, M.A. Shandiz, C. Anglin and G. Zheng (2016). Fluoroscopy-based tracking of femoral kinematics with statistical shape models. International Journal of Computer Assisted Radiology and Surgery, 11:757-765, 2016.
- L. Liu, G. Zheng, JD Bastian, MJ Keel, LP Nolte, KA Siebenrock, TM Ecker. (2016). Periacetabular osteotomy through the pararectus approach: technical feasibility and control of fragment mobility by a validated surgical navigation system in a cadaver environment. Int. Orthop, 40:1389-1396, 2016
- S. Pflugi, L. Liu, T. M. Ecker, S. Schumann, J. Cullmann-Bastian, K. Siebenrock and G. Zheng (2016). A cost-effective surgical navigation solution for periacetabular osteotomy (PAO) surgery. International Journal of Computer Assisted Radiology and Surgery, 11:271-280
- L. Liu, TM Ecker, S Schumann, KA Siebenrock, G. Zheng (2016). Evaluation of Constant Thickness Cartilage Models vs. Patient Specific Cartilage Models for an Optimized Computer-Assisted Planning of Periacetabular Osteotomy. PLOS ONE, 2016;11(1):e0146452. doi: 10.1371/journal.pone.0146452
- L Liu, T Ecker, K-A Siebenrock, G Zheng: Computer Assisted Planning, Simulation and Navigation of Periacetabular Osteotomy. CURAC 2016: 67-70
- C Chu, N Gerber, KA. Gavaghan, G Zheng: Automated Facial Nerve Segmentation: A Validation Study. CURAC 2016: 135-136
- L Liu, TM Ecker, K-A Siebenrock, G Zheng: Computer Assisted Planning, Simulation and Navigation of Periacetabular Osteotomy. MIAR 2016: 15-26
- 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
- W Yu, G Zheng: Atlas-Based Reconstruction of 3D Volumes of a Lower Extremity from 2D Calibrated X-ray Images. MIAR 2016: 366-374
- 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
- C. Chu, M. Takao, T. Ogawa, F. Yokota, Y. Sato and G. Zheng (2016). Statistical Shape Modeling of Compound Musculoskeletal Structures Around the Thigh Region. ISBI 2016, pp. 885-888
- X Ji, G Zheng, D Belavy, D Ni: Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks. CSI@MICCAI 2016: 38-48
- 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
- 2015
- H. Cheng, L. Liu, W. Yu, H. Zhang, D. Luo and G. Zheng (2015). Comparison of 2.5D and 3D quantification of femoral head coverage in normal control subjects and patients with hip dysplasia. PLOS ONE, 2015; 10(11):e0143498.
- L. Liu, T. Ecker, L. Xie, S. Schumann, K. Siebenrock and G. Zheng (2015). Biomechanical Validation of Computer Assisted Planning of Periacetabular Osteotomy: A Preliminary Study based on Finite Element Analysis. Medical Engineering & Physics, 2015; 37:1169-1173. doi: 10.1016/j.medengphy.2015.09.002
- S. Schumann, Y. Sato, Y. Nakanishi, F. Yokota, M. Takao, N. Sugano and G. Zheng (2015). Cup implant planning based on 2-D/3-D radiographic pelvis reconstruction - first clinical results. IEEE Transactions on Biomedical Engineering, 62(11):2665-73, 2015
- C. Chu, J. Bai, X. Wu and G. Zheng (2015). MASCG: Multi-Atlas Segmentation Constrained Graph Method for Accurate Segmentation of Hip CT Images. Medical Image Analysis, 26:173-184, 2015
- C. Chen, D. Belavy, W. Yu, C. Chu, G. Armbrecht, M. Bansmann, D. Felsenberg, and G. Zheng (2015). Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation. IEEE Transactions on Medical Imaging, 34:1719-1729, 2015
- C-W Wang, C-T Huang, M-C Hsieh, G Zheng, et al. (2015). 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
- C. Chen, R. Kojcev, D. Haschtmann,T. Fekete, L. Nolte and G. Zheng (2015). Ruler based automatic C-arm image stitching without overlapping constraint. Journal of Digital Imaging, 28:474-480, 2015
- C. Chu, C. Chen, L. Liu, and G. Zheng (2015). FACTS: Fully Automatic CT Segmentation of A Hip Joint. Annals of Biomedical Engineering, 2015; 43:1247-1259
- S. Berger, O. Marcello, S. Schumann, J. Schneider, D. Studer, C. Hasler, G. Zheng, P. Büchler (2015). Patient-specific spinal stiffness in AIS: a preoperative and noninvasive method. Eur Spine J,.2015;24:249-255
- M. Tannast, M.S. Hanke, G. Zheng, S.D. Steppacher, and K.A. Siebenrock (2015). What Are the Radiographic Reference Values for Acetabular Under- and Overcoverage? Clin Orthop Relat Res. 2015; 473:1234-1246
- W Xie, J. Franke, C Chen, PA Grützner, S Schumann, LP Nolte,G Zheng (2015). A complete-pelvis segmentation framework for image-free total hip arthroplasty (THA): methodology and clinical study. Int J Med Robot. 2015; 11:166-180
- M Tannast, S Fritsch, G Zheng, KA Siebenrock, SD Steppacher (2015). Which Radiographic Hip Parameters Do Not Have to Be Corrected for Pelvic Rotation and Tilt? Clin Orthop Relat Res. 2015;473:1255-1266
- G Zheng and W Yu (2015). Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation Model. MLMI 2015: 102-109
- W Yu and G Zheng (2015). 2D-3D Regularized Deformable B-Spline Registration: Application to the Proximal Femur. ISBI 2015 (Accepted as podium presentation), New York, USA, pp. 829 – 832
- 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
- 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
- 2014
- P Büchler, ME de Oliveria, D Studer, S Schumann, G Zheng, J Schneider, CC Hasler (2014). Axial suspension test to assess pre-operative spinal flexibility in patients with adolescent idiopathic scoliosis. Eur Spine J. 2014, 23:2619-2625
- B Craiovan, T Renkawitz, M Weber, J Grifka, L-P Nolte, and G Zheng (2014). Is the acetabular cup orientation after total hip arthroplasty on a two dimension or three dimension model accurate? Int. Orthop, 2014, 38:2009-2015
- C Cheng and G Zheng (2014). 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
- S Schumann, B Thelen, S Ballestra, L-P Nolte, P Büchler and G Zheng (2014). X-ray image calibration and its application to clinical orthopedics. Medical Engineering & Physics, 36(7):968-74, 2014
- B. Helgason, S Gilchrist, O Ariza, JD Chak, G Zheng, RP Widmer, SJ Ferguson, P Guz, and PA Cripton (2014). Development of a balanced experimental-computational approach to understanding the mechanics of proximal femur fractures. Medical Engineering & Physics, 36(6):793-9, 2014
- W Xie, J Franke., C Chen, P Grützner, S Schumann, LP Nolte, G Zheng (2014). Statistical model-based segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs, International Journal of Computer Assisted Radiology and Surgery, 9(2):165-76, 2014
- C Chen, W Xie, J Franke, P Grutzner, LP Nolte, G Zheng (2014). Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements. Medical Image Analysis, 18(3):487-499, 2014
- C Chu, J Bai, L Liu, X Wu and G Zheng (2014): Fully automatic segmentation of hip CT images via random forest regression-based atlas selection and optimal graph search-based surface detection. ACCV 2014, Part III; LNCS 9005, 1 – 15, 2014
- C Chu, C Chen, G Zheng (2014): Fully automatic CT segmentation for computer-assisted pre-operative planning of hip arthroscopy. CARE@MICCAI 2014, LNCS 8899, pp. 1-9, 2014
- S Balestra, S Schumann, J Heverhagen, LP Nolte, G Zheng (2014). Articulated Statistical Shape Model-Based 2D-3D Reconstruction of A Hip Joint. IPCAI 2014, LNCS 8498, pp. 128 – 137, 2014
- L Liu, T Ecker, S Schumann, K-A Siebenrock, L-P Nolte, G Zheng (2014): Computer Assisted Planning and Navigation of Periacetabular Osteotomy with Range of Motion Optimization. MICCAI (2) 2014: 643-650 (The student won MICCAI 2014 travel award.)
- C Chen, D. Belavy, G Zheng (2014): 3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification. MLMI 2014: 50-58
- 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
- W Yu, G Zheng (2014): Personalized X-ray Reconstruction of the Proximal Femur via a New Control Point-based 2D-3D Registration and Residual Complexity Minimization. VCBM 2014: 155-162
- X Dong and G Zheng (2014): Automated 3D lumbar intervertebral disc segmetnation from MRI data sets. CSI@MICCAI 2014:1 – 12