Challenges for machine learning in clinical translation of big data
imaging studies

Challenges for machine learning in clinical translation of big data imaging studies

7 July 2021

Nicola K. Dinsdale

Ana I. L. Namburete

Papers citing "Challenges for machine learning in clinical translation of big data imaging studies"

11 / 11 papers shown

Title
ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer Natalia Sikora Robert L. Manschke Alethea M. Tang Peter Dunstan Dean A. Harris Su Yang 26 0 0 09 Apr 2025
SwiFT: Swin 4D fMRI Transformer P. Y. Kim Junbeom Kwon Sunghwan Joo Sang-Peel Bae Donggyu Lee Yoonho Jung Shinjae Yoo Jiook Cha Taesup Moon MedIm 35 21 0 12 Jul 2023
Uncertainty categories in medical image segmentation: a study of source-related diversity Luke Whitbread M. Jenkinson UD UQCV 34 3 0 01 Mar 2022
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows Elena Williams Sebastian Niehaus J. Reinelt A. Merola P. Mihai ... Evelyn Medawar Daniel Lichterfeld Ingo Roeder N. Scherf Maria del C. Valdés Hernández 26 3 0 06 Dec 2021
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning Xiangde Luo Guotai Wang Tao Song Jingyang Zhang Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren Shaoting Zhang 45 96 0 25 Apr 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 65 100 0 11 Jan 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 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 144 427 0 09 Mar 2020
Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning K. Nguyen Cherise R. Chin Fatt A. Treacher C. Mellema M. Trivedi A. Montillo MedIm 21 28 0 17 Oct 2019
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 42 330 0 27 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015