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

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

Pattern Recognition (Pattern Recognit.), 2020

11 December 2020

Weronika Hryniewska

Przemysław Bombiński

Paulina Tomaszewska

A. Przelaskowski

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

14 / 14 papers shown

Title
Model Science: getting serious about verification, explanation and control of AI systems Przemyslaw Biecek Wojciech Samek 92 0 0 27 Aug 2025
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz Hubert Baniecki Piotr Komorowski Szymon Płotka Przemysław Biecek 159 2 0 23 Jul 2024
Glocal Explanations of Expected Goal Models in Soccer Mustafa Cavus Adrian Stando P. Biecek 143 5 0 29 Aug 2023
Adversarial attacks and defenses in explainable artificial intelligence: A surveyInformation Fusion (Inf. Fusion), 2023 Hubert Baniecki P. Biecek AAML 483 111 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 119 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 89 1 0 17 May 2023
Towards Evaluating Explanations of Vision Transformers for Medical Imaging Piotr Komorowski Hubert Baniecki P. Biecek MedIm 185 40 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 106 1 0 12 Mar 2023
Multimodal Explainability via Latent Shift applied to COVID-19 stratificationPattern Recognition (Pattern Recogn.), 2022 V. Guarrasi L. Tronchin Domenico Albano E. Faiella Deborah Fazzini D. Santucci Paolo Soda 241 30 0 28 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systemsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Nabeel Seedat F. Imrie M. Schaar 193 18 0 09 Nov 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic ReviewIEEE Reviews in Biomedical Engineering (IEEE Rev. Biomed. Eng.), 2021 F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 347 89 0 23 Dec 2021
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanationsMachine-mediated learning (ML), 2021 Weronika Hryniewska Adrianna Grudzieñ P. Biecek FAtt 153 8 0 15 Nov 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray dataIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021 T. Kalliokoski 156 0 0 24 Oct 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency MappingPattern Recognition (Pattern Recogn.), 2021 Jessica Cooper Ognjen Arandjelovic David J. Harrison AAML 310 18 0 22 Feb 2021