Best Paper Award and Young Scientist Award
The MICCAI Best Paper Award and the MICCAI Young Scientist Award recognize the highest quality papers published at the main MICCAI conference. Three MICCAI Best Paper Awards and five MICCAI Young Scientist Awards are issued each year. The awardees are honored with a certificate.
The definition of and guidelines for these awards can be found here.
Winners of the Best Paper Award
2024 |
Hongbo Chen, Yuchong Gao, Shuhang Zhang, Jiangjie Wu, Yuexin Ma, Rui Zheng (ShanghaiTech University), RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction Honorable Mentions Ege Özsoy, Chantal Pellegrini, Matthias Keicher, Nassir Navab (TU Munich), ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling |
2023 |
Alvaro Gonzales-Jiminez, Simone Lionetti, Philipe Gottfrois, Fabian Gröger, Marc Pouly, Alexander Navarini (University of Basel), Robust T-Loss for Medical Image Segmentation Honorable Mentions DongAo Ma, Jiaxuan Pang, Michael Gotway, Jianming Liang (Arizona State University), Ark: Accruing and Reusing Knowledge for Superior and Robust Performance |
Winners of the Young Scientist Award
2024 |
Paul F. R. Wilson, Minh Nguyen Nhat To, Amoon Jamzad, Mahdi Gilany, Mohamed Harmanani, Tarek Elghareb, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi (Queen's University)
ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection
Haolin Huang, Zhengrong Shen,Jing Wang, Xinyu Wang, Jiaying Lu, Huamei Lin, Jingjie Ge, Chuantao Zuo, Qian Wang (ShanghaiTech University), MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET
Ishak Ayad, Ensea, Cy Cergy, Javier Cebeiro, Maï K. Nguyen (Paris University), UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction
Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Zhongyi Shui, Lin Yang (Westlake University), WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann (Netherlands Cancer Institute), Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
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2023 |
John Orlando Kalkhof, Anirban Mukhopadhyay (TU Darmstadt), M3D-NCA: Robust 3D Segmentation with Built-in Quality Control Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng (Technical University of Munich) BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior Jan Sellner, Silvia Seidlitz, Alexander Stefan Studier-Fischer, Allessandro Motta, Berkin K Oezdemir, Beat P Müller-Stich, Felix Nickel, Lena Maier-Hein (German Cancer Research Center) Semantic Segmentation of Surgical Hyperspectral Images under Geometrical Domain Shifts Hooman Vaseli, Ang Nan Gu, S. Neda Ahmadi Amiri, Michael Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa Tsang (University of British Columbia), ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography Chen Yang, Kailing Wang, Yuehao Wang, Xiaokang Yang, Wei Shen (Shanghai Jiao Tong University) Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues |
2022 |
Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou (The Chinese University of Hong Kong): Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah Deng, Joshua Barber, Nathan Lampen, Jaime Gateno, James Xia, Pingkun Yan (Rensselaer Polytechinic Institute): Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan (City University of Hong Kong): Discrepancy and Gradient-guided Multi-modal Knowledge Distillation for Pathological Glioma Grading Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao (Nanjing University of Aeronautics and Astronautics): Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors Qianhui Men, Clare Teng, Lior Drukker, Aris Papageorghiou, Alison Noble (University of Oxford): Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning |
2021 |
Camila Gonzalez, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay. Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation. Changyeop Shin, Hyun Ryu, Eun-Seo Cho, Young-Gyu Yoon. RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing. Gia H Ngo, Minh Nguyen, Nancy Chen, Mert Sabuncu. Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query. Kun Yuan, Shijian Gao, Won-Sook Lee, Matthew S Holden. Surgical Workflow Anticipation using Instrument Interaction. Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Vetter, Andreas Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein. C-arm positioning for spinal standard projections in different intra-operative settings. |
2020 |
Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas Maier. Move over there: One-click deformation of preoperative 3D information to intraoperative X-ray during endovascular aortic repair Pramit Saha, Yadong Liu, Bryan Gick, Sidney Fels. Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images Lu Zhang, Li Wang, Dajiang Zhu. Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN based Generative Adversarial Network Nils Eckstein, Julia Buhmann, Matthew Cook, Jan Funke. Microtubule Tracking in Electron Microscopy Volumes |
2019 |
Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière. Clustering of longitudinal shape data sets using mixture of separate or branching trajectories Yufan He, Aaron Carass, Yihao Liu, Bruno Jedynak, Sharon Solomon, Shiv Saidha, Peter Calabresi, Jerry Prince. Fully convolutional boundary regression for retina OCT segmentation Thomas Kurmann, Pablo Márquez Neila, Sebastian Wolf, Raphael Sznitman. Deep Multi Label Classification in Affine Subspaces Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang. Diagnosis-guided multi-modal feature selection for prognosis prediction of lung squamous cell carcinoma Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Jianming Liang. Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis |
2018 |
Erik J. Bekkers Bastian Bier Yuanhan Mo Tanya Nair Yue Zhang |
2017 |
Florin-Cristian Ghesu Sasan Matinfar Mehraveh Salehi Ryutaro Tanno Wufeng Xue |
2016 |
Xiaohuan Cao Dogu Baran Aydogan Amir Jamaludin Daniel Moyer Benjamín Gutiérrez-Becker |
Student Best Paper Awards (prior award) |
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2015 |
Nicola Rieke Mattieu Le Soheil Hor Menglin Jiang |
2014 |
Alborz Amir-Khalili Philip Edgcumbe Yi Hong Maxime Taquet Miaomiao Zhang |
2013 |
Juliane Dinse Darko Zikic Bartolomiej Papiez Oliver Zettinig Ivor Simpson |
2012 |
Hang Su Eli Gibson Stephanie Marchesseau Roland Kwitt Robin Wolz |
2011 |
Mattias Heinrich T Mansi Siyang Zuo Christof Seiler Ting Chen |
2010 |
Ehsan Dehghan Junzhou Huang Saša Grbić Rémi Cuingnet Anthony Sherbondy |
2009 |
Lejing Wang Yiyi Wei Christopher Rohkohl Tammy Riklin Raviv Peter Savadjiev |
2008 |
Gert Schoonenberg Vicky Wang SImon Rit William Greene Benoit Scherrer Stanley Durrleman |
2007 |
Boon Thye Thomas Yeo Stephan Tuchschmid Irina Waechter Wolfgang Wein Kang Li Wael Bachta Brian Avants |
2006 |
Delphine Nain Karl Sjöstrand Andrew Dowsey Paul Novotny Jian Zhang |
2005 |
Pingkun Yan Ashraf Mohamed Henry Lin Peter Savadjiev Srinivasan Rajagopalan |