Title
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 68 174 0 13 Dec 2022
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection Lidia Garrucho Kaisar Kushibar Richard Osuala Oliver Díaz Alessandro Catanese Javier del Riego Maciej Bobowicz Fredrik Strand Laura Igual Karim Lekadir MedIm 67 21 0 20 Sep 2022
Metrics reloaded: Recommendations for image analysis validation Lena Maier-Hein Annika Reinke Patrick Godau M. Tizabi Florian Buettner ... Aleksei Tiulpin Sotirios A. Tsaftaris Ben Van Calster Gaël Varoquaux Paul F. Jäger 81 235 0 03 Jun 2022
Improving the repeatability of deep learning models with Monte Carlo dropout A. Lemay K. Hoebel Christopher P. Bridge B. Befano Silvia De Sanjosé Diden Egemen A. Rodriguez M. Schiffman John Peter Campbell Jayashree Kalpathy-Cramer OOD 73 46 0 15 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 66 178 0 14 Feb 2022
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study Lidia Garrucho Kaisar Kushibar Socayna Jouide Oliver Díaz Laura Igual Karim Lekadir OOD 76 6 0 27 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 134 418 0 20 Jan 2022
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions Yang Nan Javier Del Ser Simon Walsh Carola Schönlieb M. Roberts ... Philippe Lambin Leonor Cerdá Alberich L. Martí-Bonmatí Francisco Herrera Guang Yang 85 109 0 17 Jan 2022
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 72 32 0 11 Sep 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos Kaisar Kushibar S. Walsh P. Gkontra Karim Lekadir FedML 69 68 0 07 Jul 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 299 500 0 31 Dec 2020
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 76 73 0 22 Dec 2020
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel David Vigouroux Rémi Cadène Thomas Serre XAI FAtt 65 31 0 07 Sep 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 64 315 0 06 Jul 2020
Technology Readiness Levels for AI & ML Alexander Lavin Ajay Sharma VLM 69 110 0 21 Jun 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 83 389 0 21 Jan 2020
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 117 1,452 0 17 Jul 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 136 1,638 0 05 Nov 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 101 813 0 03 Oct 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 289 2,201 0 23 Mar 2018