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 |