Grants and Awards
MICCAI Young Scientist Publication Impact Award
This annual award recognizes a MICCAI conference publication by a young scientist that was presented at the main MICCAI conference within the past five years and that has subsequently had a significant impact on the field. The MICCAI Young Scientist Publication Impact awardees will be honored by a certificate.
The definition of and guidelines for this award can be found here.
Winners of the Young Scientist Publication Impact Award
2025
Deng-Ping Fan
Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen and Ling Shao. "PraNet: Parallel Reverse Attention Network for Polyp Segmentation", MICCAI 2020
2024
Jeya Maria Jose Valanarasu
Co-authors: Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel, "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation", MICCAI 2021
2023
Adrian V. Dalca
Guha Balakrishnan, John Guttag, Mert R. Sabuncu. "Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration", MICCAI 2018
2022
Abhijit Guha Roy
Nassir Navab, Christian Wachinger. "Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks", MICCAI 2018
2021
Özgün Çiçek
Ö Çiçek, A Abdulkadir, S S Lienkamp, T Brox, O Ronneberger. "3D U-Net: Learning dense volumetric segmentation from sparse annotation", MICCAI 2016
2020
Dong Nie
D Nie, R Trullo, C Petitjean, S Ruan, D Shen. "Medical Image Synthesis with Context-Aware Generative Adversarial Networks", MICCAI 2017
2019
Hao Chen
H Chen. Q Dou, D Ni, J-Z Cheng, J Qin, S Li, and P-A Heng, "Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks", MICCAI 2015
2018
Holger R. Roth
HR Roth, L Lu, A Seff, KM Cherry, J Hoffman, S Wang, J Liu, E Turkbey, RM Summers, "A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations", MICCAI 2014
2017
Angel Alfonso Cruz-Roa
AA Cruz-Roa, JE Arevalo Ovalle, A Madabhushi, FA González Osorio, "A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection", MICCAI 2013
2016
Stefan Bauer
S Bauer, L Nolte, M Reyes, "Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization", MICCAI 2011
2015
Bjoern Menze
B Menze, K Van Leemput, D Lashkari, M Weber, N Ayache, P Golland, "A Generative Model for Brain Tumor Segmentation in Multi-Modal Images", MICCAI 2010
2014
Samuel Gerber
S Gerber, T Tasdizen, S Joshi, R Whitaker, "On the manifold structure of the space of brain images", MICCAI 2009
2013
Tom Vercauteren
T Vercauteren, X Pennec, A Perchant, N Ayache, "Symmetric Log-Domain Diffeomorphic Registration: A Demons-based Approach", MICCAI 2008
2012
Caroline Brun
C Brun, N Lepore, X Pennec, Y-Y Chou, K McMahon, GI de Zubicaray, M Meredith, MJ Wright, AD Lee, M Barysheva, AW Toga, PM Thompson, "A Tensor-Based Morphometry Study of Genetic Influences on Brain Structure using a New Fluid Registration Method", MICCAI 2008
2011
BT Thomas Yeo
BT Yeo, MR Sabuncu, R Desikan, B Fischl, P Golland, "Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy", MICCAI 2007