Grants and Awards
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
2025
Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan (RICE University), "Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation"
Runners-up
Héloïse Bustin, Tom Meyer, Jakob Jordan, Lars Walczak, Heiko Tzschätzsch, Ingolf Sack and Anya Hennemuth (Charité – Universitätsmedizin Berlin) "Multifrequency Neural Network-Based Wave Inversion"
Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianya Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, and Zongwei Zhou (John Hopkins University) "Learning Segmentation from Radiology Reports"
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
Tong Chen, Qingcheng Lyu, Long Bai, Erjian Guo, Huxin Gao, Xiaoxiao Yang, Hongliang Ren, Luping Zhou (The University of Sydney), LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
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
Yuan Bi, Zhongliang Jiang, Ricarda Clarenbach, Reza Ghotbi, Angelos Karlas, Nassir Navab (Technical University of Munich), MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domains Generalization
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
2025
Hamidreza Aftabi, John E. Lloyd, Amanda Ding, Benedikt Sagl, Eitan Prisman, Antony Hodgson, Sidney Fels. "OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery"
Qiang Ma, Qingjie Meng, Mengyun Qiao, Paul M. Matthews, Declan P. O'Regan, Wenjia Bai. "CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching"
Yiming Huang, Long Bai, Beilei Cui, Kun Yuan, Guankun Wang, Mobarak I. Hoque, Nicolas Padoy, Nassir Navab, Hongliang Ren. "SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting"
Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang. "Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification"
2024
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
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
Bastian Bier
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
Yuanhan Mo
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation
Tanya Nair
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
Yue Zhang
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
2017
Florin-Cristian Ghesu
Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data
Sasan Matinfar
Surgical Soundtracks: towards automatic musical augmentation of surgical procedures
Mehraveh Salehi
A Submodular Approach to Create Individualized Parcellations of the Human Brain
Ryutaro Tanno
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution
Wufeng Xue
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness
2016
Xiaohuan Cao
Learning-based Multimodal Image Registration for Prostate Cancer Radiation Therapy
Dogu Baran Aydogan
Probabilistic Tractography for Topographically Organized Connectomes
Amir Jamaludin
SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs
Daniel Moyer
A Continuous Model of Cortical Connectivity
Benjamín Gutiérrez-Becker
Learning Optimization Updates for Multimodal Registration
Student Best Paper Awards (prior award)
2015
Nicola Rieke
Surgical Tool Tracking with Pose Estimation in retinal Microsurgery
Mattieu Le
GPSSI: Gaussian Process for Sampling Segmentations of Images
Soheil Hor
Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets
Menglin Jiang
Joint Kernel-Based Supervised Hashing for Scalable Histological Image Analysis
2014
Alborz Amir-Khalili
Auto Localization and Segmentation of Occluded Vessels in Robot-Assisted Partial Nephrectomy
Philip Edgcumbe
Pico Lantern: A Pick-up Projector for Augmented Reality in Laparoscopic Surgery
Yi Hong
Depth-based Shape Analysis
Maxime Taquet
A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure
Miaomiao Zhang
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration
2013
Juliane Dinse
A histology-based model of quantitative T1 contrast for in-vivo cortical parcellation of high-resolution 7 Tesla brain MR images
Darko Zikic
Atlas encoding by randomized forests for efficient label propagation
Bartolomiej Papiez
Complex lung motion estimation via adaptive bilateral filtering of the deformation field
Oliver Zettinig
Fast data-driven calibration of a cardiacelectrophysiology model from images and ECG
Ivor Simpson
A Bayesian approach for spatially adaptive regularization on non-rigid registration
2012
Hang Su
Phase Contrast Image Restoration Via Dictionary Representation of Diffraction Patterns
Eli Gibson
Registration accuracy: How good is good enough? A statistical power calculation incorporating image registration uncertainty
Stephanie Marchesseau
Cardiac Mechanical Parameter Calibration based on the Unscented Transform
Roland Kwitt
Recognition in Ultrasound Videos: Where am I?
Robin Wolz
Multi-organ Abdominal CT Segmentation using hierarchically weighted Subject-specific Atlases
2011
Mattias Heinrich
Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration
T Mansi
Towards Patient-Specific Finite-Element Simulation of Mitral Clip Procedure
Siyang Zuo
Nonmetalic Rigid-Flexible Outer Sheath with Pneumatic Shapelocking Mechanism and Double Curvature Structure
Christof Seiler
Geometry-Aware Multiscale Image Registration Via OBBTree-Based Polyaffine Log-Demons
Ting Chen
Mixture of Segmenters with Discriminative Spatial regularization and sparse Weight Selection
2010
Ehsan Dehghan
Prostate brachytherapy seed reconstruction using C-Arm rotation measurement and motion compensation
Junzhou Huang
Efficient MR Image Reconstruction for Compressed MR Imaging
Saša Grbić
Complete Valvular Heart Apparatus Model from 4D Cardiac CT
Rémi Cuingnet
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Anthony Sherbondy
MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation
2009
Lejing Wang
Parallax-Free Long Bone X-ray Image Stitching
Yiyi Wei
Toward Real-Time Simulation of Blood-Coil Interaction during Aneurysm Embolization
Christopher Rohkohl
Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion
Tammy Riklin Raviv
Joint Segmentation of Image Ensembles via Latent Atlases
Peter Savadjiev
Local White Matter Geometry Indices from Diffusion Tensor Gradients
2008
Gert Schoonenberg
The Effect of Automated Marker Detection on In Vivo Volumetric Stent Reconstruction
Vicky Wang
Passive Ventricular Mechanics Modelling Using Cardiac MR Imaging of Structure and Function
SImon Rit
On-the-fly motion-compensated cone-beam CT using an a priori motion model
William Greene
A Constrained Non-Rigid Registration Algorithm for use in Prostate Image-Guided Radiotherapy
Benoit Scherrer
Fully Bayesian Joint Model for MR brain scan tissue and subcortical structure segmentation
Stanley Durrleman
Sparse Approximation of Currents for Statistics on Curves and Surfaces
2007
Boon Thye Thomas Yeo
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy
Stephan Tuchschmid
Modelling Intravasation of Liquid Distension Media in Surgical Simulators
Irina Waechter
Quantification of Blood Flow from Rotational Angiography
Wolfgang Wein
Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound
Kang Li
Cell Population Tracking and Lineage Construction with Spatiotemporal Context
Wael Bachta
Cardiolock : an active cardiac stabilizer - First in vivo experiments using a new robotized device
Brian Avants
Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies
2006
Delphine Nain
Shape-driven 3D Segmentation using Spherical Wavelets
Karl Sjöstrand
The Entire Regularization Path for the Support Vector Domain Description
Andrew Dowsey
Motion-Compensated MR Valve Imaging with COMB Tag Tracking and Super-Resolution Enhancement
Paul Novotny
GPU Based Real-time Instrument Tracking with Tree Dimensional Ultrasound
Jian Zhang
A Pilot Study of Robot-Assisted Cochlear Implant Surgery Using Steerable Electrode Arrays
2005
Pingkun Yan
MRA Image Segmentation with Capillary Active Contour
Ashraf Mohamed
Deformable Registration of Brain Tumor Images via a Statistical Model of Tumor Induced Deformation
Henry Lin
Automatic Detection and Segmentation of Robot Assisted Surgical Motions
Peter Savadjiev
3D Curve Inference for Diffusion MRI Regularization
Srinivasan Rajagopalan
Schwarz Meets Schwann: Design and Fabrication of Biomorphic Tissue Engineering Scafolds