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

2023

Dr. Adrian V. Dalca

Guha Balakrishnan, John Guttag, Mert R. Sabuncu. Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration, MICCAI 2018

2022

Dr. 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