IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

23 March 2021

Papers citing "IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography"

50 / 54 papers shown

Title
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis Shuang Zhou Jiashuo Wang Zidu Xu Song Wang David Brauer ... Zaifu Zhan Yu Hou Mingquan Lin Genevieve B. Melton Rui Zhang 43 0 0 06 May 2025
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses Sahil Sethi Sai Reddy Mansi Sakarvadia Jordan Serotte Darlington Nwaudo Nicholas Maassen Lewis Shi 41 0 0 29 Apr 2025
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning S. David Chen Thomas Statchen Michael C. Burkhart Nipun Bhandari Bashar Ramadan Brett Beaulieu-Jones 37 1 0 11 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives Xiaokun Liu Sayedmohammadreza Rastegari Yijun Huang Sxe Chang Cheong Weikang Liu ... Sina Tabakhi Xianyuan Liu Zheqing Zhu Wei Sang Haiping Lu 26 0 0 04 Apr 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 52 0 0 03 Mar 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models Khawla Elhadri Tomasz Michalski Adam Wróbel Jorg Schlotterer Bartosz Zieliñski C. Seifert 84 0 0 13 Feb 2025
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers Chiyu Ma J. Donnelly Wenjun Liu Soroush Vosoughi Cynthia Rudin Chaofan Chen ViT 26 8 0 28 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 23 3 0 03 Oct 2024
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data Ximing Wen Rosina O. Weber Anik Sen Darryl Hannan Steven C. Nesbit ... Michael J. Morris J. Hunninghake Nicholas E. Villalobos Edward J. Kim Christopher J. MacLellan 20 2 0 01 Jul 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 29 4 0 21 Jun 2024
This actually looks like that: Proto-BagNets for local and global interpretability-by-design K. Djoumessi B. Bah Laura Kühlewein Philipp Berens Lisa M. Koch FAtt 18 0 0 21 Jun 2024
This Looks Better than That: Better Interpretable Models with ProtoPNeXt Frank Willard Luke Moffett Emmanuel Mokel Jon Donnelly Stark Guo Julia Yang Giyoung Kim Alina Jade Barnett Cynthia Rudin 23 4 0 20 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography Julia Yang Alina Jade Barnett Jon Donnelly Satvik Kishore Jerry Fang F. Schwartz Chaofan Chen Joseph Y. Lo Cynthia Rudin MedIm 23 1 0 10 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 38 3 0 23 May 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 22 7 0 23 May 2024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges Shreyasi Pathak Jorg Schlotterer Jeroen Veltman J. Geerdink M. V. Keulen Christin Seifert 26 3 0 29 Mar 2024
ProtoP-OD: Explainable Object Detection with Prototypical Parts Pavlos Rath-Manakidis Frederik Strothmann Tobias Glasmachers Laurenz Wiskott ViT 24 1 0 29 Feb 2024
XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision Miguel Correia Alceu Bissoto Carlos Santiago Catarina Barata 14 0 0 02 Feb 2024
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence Zhengqing Fang Shuowen Zhou Zhouhang Yuan Yuxuan Si Mengze Li ... Wenjia Xie Kun Kuang Yingming Li Fei Wu Yu-feng Yao 25 1 0 14 Jan 2024
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework Elham Nasarian R. Alizadehsani U. Acharya Kwok-Leung Tsui 17 39 0 18 Nov 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 16 26 0 28 Oct 2023
Interpretable Medical Image Classification using Prototype Learning and Privileged Information Luisa Gallée Meinrad Beer Michael Götz MedIm 13 3 0 24 Oct 2023
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models An Yan Yu-Xiang Wang Yiwu Zhong Zexue He Petros Karypis ... Chengyu Dong Amilcare Gentili Chun-Nan Hsu Jingbo Shang Julian McAuley 21 30 0 04 Oct 2023
Distance-Aware eXplanation Based Learning Misgina Tsighe Hagos Niamh Belton Kathleen M. Curran Brian Mac Namee FAtt 23 0 0 11 Sep 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 25 14 0 16 Aug 2023
Learning Concise and Descriptive Attributes for Visual Recognition Andy Yan Yu-Xiang Wang Yiwu Zhong Chengyu Dong Zexue He Yujie Lu William Wang Jingbo Shang Julian McAuley VLM 10 60 0 07 Aug 2023
Unlearning Spurious Correlations in Chest X-ray Classification Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee CML OOD 10 0 0 02 Aug 2023
Interpreting and Correcting Medical Image Classification with PIP-Net Meike Nauta J. H. Hegeman J. Geerdink Jorg Schlotterer M. V. Keulen Christin Seifert MedIm 17 11 0 19 Jul 2023
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining Aaron J. Li Robin Netzorg Zhihan Cheng Zhuoqin Zhang Bin Yu 22 3 0 08 Jul 2023
Prototype Learning for Explainable Brain Age Prediction L. Hesse Nicola K. Dinsdale Ana I. L. Namburete MedIm 15 0 0 16 Jun 2023
When a CBR in Hand is Better than Twins in the Bush Mobyen Uddin Ahmed Shaibal Barua Shahina Begum Mir Riyanul Islam Rosina O. Weber 20 1 0 09 May 2023
Evaluating Post-hoc Interpretability with Intrinsic Interpretability J. P. Amorim P. Abreu João A. M. Santos Henning Muller FAtt 17 1 0 04 May 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Yuanyuan Wei Roger Tam Xiaoying Tang MedIm 14 12 0 13 Apr 2023
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations Daniel Flores-Araiza F. Lopez-Tiro Jonathan El Beze Jacques Hubert M. González-Mendoza G. Ochoa-Ruiz C. Daul MedIm OOD 26 6 0 08 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 39 2 0 30 Mar 2023
Removing confounding information from fetal ultrasound images K. Mikolaj Manxi Lin Zahra Bashir M. B. S. Svendsen M. Tolsgaard Anders Christensen Aasa Feragen 27 3 0 24 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 16 28 0 14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 12 29 0 28 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang Yuyuan Liu Yuanhong Chen Fengbei Liu Yu Tian Davis J. McCarthy Helen Frazer G. Carneiro 26 24 0 08 Jan 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 10 15 0 16 Dec 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 19 10 0 17 Oct 2022
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples L. Hesse Ana I. L. Namburete FAtt 9 8 0 31 Jul 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 19 62 0 29 Jul 2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning A. Mulyadi Wonsik Jung Kwanseok Oh Jee Seok Yoon Heung-Il Suk MedIm 12 2 0 27 Jul 2022
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images Daniel Flores-Araiza F. Lopez-Tiro Elias Villalvazo-Avila Jonathan El Beze Jacques Hubert G. Ochoa-Ruiz C. Daul 16 4 0 01 Jun 2022
Concept-level Debugging of Part-Prototype Networks A. Bontempelli Stefano Teso Katya Tentori Fausto Giunchiglia Andrea Passerini 12 52 0 31 May 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 133 182 0 31 May 2022
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 97 0 06 Dec 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 25 127 0 29 Nov 2021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification Dawid Rymarczyk Adam Pardyl Jaroslaw Kraus Aneta Kaczyńska M. Skomorowski Bartosz Zieliñski 8 21 0 24 Aug 2021