ivadomed: A Medical Imaging Deep Learning Toolbox

ivadomed: A Medical Imaging Deep Learning Toolbox

20 October 2020

Olivier Vincent

Anthime Bucquet

Joseph Paul Cohen

Julien Cohen-Adad

Papers citing "ivadomed: A Medical Imaging Deep Learning Toolbox"

10 / 10 papers shown

Title
Metadata Improves Segmentation Through Multitasking Elicitation Iaroslav Plutenko Mikhail Papkov K. Palo L. Parts D. Fishman 10 0 0 18 Aug 2023
An overview of open source Deep Learning-based libraries for Neuroscience L. F. Tshimanga M. Atzori Federico Del Pup M. Corbetta OOD 23 4 0 19 Dec 2022
Medical Image Segmentation Review: The success of U-Net Reza Azad Ehsan Khodapanah Aghdam Amelie Rauland Yiwei Jia Atlas Haddadi Avval Afshin Bozorgpour Sanaz Karimijafarbigloo Joseph Paul Cohen Ehsan Adeli Dorit Merhof SSeg 25 265 0 27 Nov 2022
Label fusion and training methods for reliable representation of inter-rater uncertainty A. Lemay C. Gros Enamundram Naga Karthik Julien Cohen-Adad 24 12 0 15 Feb 2022
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T N.L. Medina C. Gros Julien Cohen-Adad V. Callot A. Troter 26 1 0 13 Oct 2021
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge U. Macar E. Karthik C. Gros A. Lemay Julien Cohen-Adad 6 4 0 12 Sep 2021
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling Reza Azad Lucas Rouhier Julien Cohen-Adad 11 14 0 14 Aug 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 29 10 0 05 May 2021
Benefits of Linear Conditioning with Metadata for Image Segmentation A. Lemay C. Gros Olivier Vincent Yaou Liu Joseph Paul Cohen Julien Cohen-Adad AI4CE 27 6 0 18 Feb 2021
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 30 70 0 18 Nov 2020