Title
Groningen: Spatial Prediction of Rock Gas Saturation by Leveraging Selected and Augmented Well and Seismic Data with Classifier Ensembles Dmitry Ivlev 50 0 0 14 Oct 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge D. Labella Ujjwal Baid O. Khanna Shan McBurney-Lin Ryan McLean ... A. Abouelatta Tanvir Rizvi Klara Willms Dann C. Martin Abdullah Okar 51 7 0 16 May 2024
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 74 493 0 04 Nov 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection Sarthak Pati Ujjwal Baid Brandon Edwards Micah J. Sheller Shih-Han Wang ... Prashant Shah Bjoern Menze J. Barnholtz-Sloan Jason Martin Spyridon Bakas FedML AI4CE 42 211 0 22 Apr 2022
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes Ujjwal Baid Sarthak Pati Tahsin M. Kurc Rajarsi R. Gupta Erich Bremer Shahira Abousamra Siddhesh P. Thakur Joel H. Saltz Spyridon Bakas FedML 31 17 0 30 Mar 2022
OpenFL: An open-source framework for Federated Learning G. A. Reina Alexey Gruzdev Patrick Foley O. Perepelkina Mansi Sharma ... Sarthak Pati Prakash Narayana Moorthy Shih-Han Wang Prashant Shah Spyridon Bakas FedML AIFin 33 110 0 13 May 2021
The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati Ujjwal Baid M. Zenk Brandon Edwards Micah J. Sheller ... Lena Maier-Hein Jens Kleesiek Bjoern Menze Klaus Maier-Hein Spyridon Bakas FedML OOD 58 74 0 12 May 2021
Common Limitations of Image Processing Metrics: A Picture Story Annika Reinke M. Tizabi Carole H. Sudre Matthias Eisenmann Tim Radsch ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul Jäger Lena Maier-Hein 34 144 0 12 Apr 2021
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers Moi Hoon Yap B. Cassidy Joseph M Pappachan C. O'Shea David Gillespie N. Reeves 30 50 0 07 Apr 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 110 1,567 0 18 Mar 2021
DeepReg: a deep learning toolkit for medical image registration Yunguan Fu N. M. Brown Shaheer U. Saeed Adrià Casamitjana Zachary Michael Cieman Baum ... E. Bonmati Daniel C. Alexander Matthew J. Clarkson Tom Vercauteren Yipeng Hu VLM MedIm 38 32 0 04 Nov 2020
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis Alain Jungo Olivier Scheidegger Mauricio Reyes F. Balsiger 12 39 0 07 Oct 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 171 430 0 09 Mar 2020
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation Yuemeng Li Hongming Li Yong-Xian Fan 3DPC 54 28 0 13 Feb 2020
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study G. Mårtensson D. Ferreira T. Granberg L. Cavallin K. Oppedal ... H. Soininen S. Lovestone A. Simmons D. Aarsland E. Westman OOD 24 135 0 01 Nov 2019
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types Shahira Abousamra L. Hou Rajarsi R. Gupta Chao Chen Dimitris Samaras Tahsin M. Kurc R. Batiste Tianhao Zhao S. Kenneth Joel H. Saltz 14 10 0 09 Jul 2019
Signet Ring Cell Detection With a Semi-supervised Learning Framework Jiahui Li Shuang Yang Xiaodi Huang Q. Da Xiaoqun Yang Zhiqiang Hu Qi Duan Chaofu Wang Hongsheng Li 30 89 0 09 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 34 17,950 0 28 May 2019
Evaluating the Impact of Intensity Normalization on MR Image Synthesis Jacob C. Reinhold Blake E. Dewey A. Carass Jerry L. Prince MedIm 36 159 0 11 Dec 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 101 1,623 0 05 Nov 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah J. Sheller G. A. Reina Brandon Edwards Jason Martin Spyridon Bakas FedML 38 458 0 10 Oct 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 114 1,958 0 18 Sep 2018
DeepNeuro: an open-source deep learning toolbox for neuroimaging Andrew Beers James M. Brown Ken Chang K. Hoebel Elizabeth R Gerstner Bruce Rosen Jayashree Kalpathy-Cramer MedIm 27 39 0 14 Aug 2018
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data Hongming Li Yong-Xian Fan MedIm 25 154 0 11 Jan 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 65 1,037 0 02 Jan 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 46 2,771 0 13 Dec 2017
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images Nick Pawlowski S. Ktena M. J. Lee Bernhard Kainz Daniel Rueckert Ben Glocker Martin Rajchl LM&MA MedIm 34 82 0 18 Nov 2017
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach Xu Han Roland Kwitt S. Aylward Spyridon Bakas Bjoern Menze Alex Asturias P. Vespa J. V. Horn Marc Niethammer MedIm 24 24 0 15 Nov 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 71 2,335 0 15 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 116 1,779 0 10 Oct 2017
NiftyNet: a deep-learning platform for medical imaging Eli Gibson Wenqi Li Carole Sudre Lucas Fidon D. I. Shakir ... Marc Modat D. Barratt Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren 53 549 0 11 Sep 2017
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 79 2,132 0 11 Jul 2017
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning Ronald Kemker C. Salvaggio Christopher Kanan 42 456 0 19 Mar 2017
Image biomarker standardisation initiative A. Zwanenburg S. Leger Fabian Isensee Steffen Löck 23 2,023 0 21 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 156 19,796 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 819 192,638 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 696 76,547 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 262 149,474 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 111 4,653 0 21 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 192 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 525 99,991 0 04 Sep 2014