pymia: A Python package for data handling and evaluation in deep
learning-based medical image analysis

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pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

7 October 2020

Olivier Scheidegger

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Papers citing "pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis"

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Title
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation Daniel Syomichev Padmini Gopinath Guang-Lin Wei Eric Chang Ian Gordon Amanuel Seifu Rahul Pemmaraju Neehar Peri James M. Purtilo 69 0 0 12 Mar 2025
Reproducibility in machine learning for medical imaging O. Colliot Elina Thibeau-Sutre Ninon Burgos OOD 69 8 0 12 Sep 2022
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings Florian Kofler Ivan Ezhov Lucas Fidon Izabela Horvath Ezequiel de la Rosa ... Jan Kirschke Tom Vercauteren C. Zimmer Benedikt Wiestler Bjoern Menze 66 5 0 17 May 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 63 37 0 10 Apr 2022
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient Florian Kofler Ivan Ezhov Fabian Isensee F. Balsiger Christoph Berger ... C. Zimmer D. Ankerst Jan Kirschke Benedikt Wiestler Bjoern Menze 77 52 0 10 Mar 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging Sarthak Pati Siddhesh P. Thakur İbrahim Ethem Hamamcı Ujjwal Baid Bhakti Baheti ... D. Kontos Alexandros Karargyris Renato Umeton Peter Mattson Spyridon Bakas LM&MA MedIm 150 45 0 26 Feb 2021
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 263 437 0 09 Mar 2020