Young Scientist 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 definition of and guidelines for this award can be found here.
Winners of the Young Scientist Impact Award
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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
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| 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 |
