Checklist for responsible deep learning modeling of medical images based
on COVID-19 detection studies

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies

11 December 2020

Weronika Hryniewska

Przemysław Bombiński

Paulina Tomaszewska

A. Przelaskowski

Papers citing "Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies"

13 / 13 papers shown

Title
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz Hubert Baniecki Piotr Komorowski Szymon Płotka Przemysław Biecek 31 1 0 23 Jul 2024
Glocal Explanations of Expected Goal Models in Soccer Mustafa Cavus Adrian Stando P. Biecek 35 4 0 29 Aug 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 42 63 0 06 Jun 2023
Prevention is better than cure: a case study of the abnormalities detection in the chest Weronika Hryniewska P. Czarnecki Jakub Wi'sniewski Przemyslaw Bombiñski P. Biecek 29 0 0 18 May 2023
Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice Daniel Kvak Anna Chromcová P. Ovesná Jakub Dandár Marek Biroš R. Hrubý D. Dufek Marija Pajdaković 9 0 0 17 May 2023
Towards Evaluating Explanations of Vision Transformers for Medical Imaging Piotr Komorowski Hubert Baniecki P. Biecek MedIm 33 27 0 12 Apr 2023
Challenges facing the explainability of age prediction models: case study for two modalities Mikolaj Spytek Weronika Hryniewska-Guzik J. Żygierewicz Jacek Rogala P. Biecek 24 1 0 12 Mar 2023
Multimodal Explainability via Latent Shift applied to COVID-19 stratification V. Guarrasi L. Tronchin Domenico Albano E. Faiella Deborah Fazzini D. Santucci Paolo Soda 24 22 0 28 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 24 73 0 23 Dec 2021
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations Weronika Hryniewska Adrianna Grudzieñ P. Biecek FAtt 53 3 0 15 Nov 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data T. Kalliokoski 19 0 0 24 Oct 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping Jessica Cooper Ognjen Arandjelovic David J. Harrison AAML 11 13 0 22 Feb 2021