Title
Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Han Chen Anne L. Martel 43 0 0 28 Apr 2025
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets H. Q. Vo Samira Zare S. Ly Lin Wang Chika F. Ezeana Xiaohui Yu Kelvin K. Wong Stephen T. C. Wong H. Nguyen OOD 54 0 0 09 Mar 2025
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis Yuxiang Yang Xinyi Zeng Pinxian Zeng Binyu Yan Xi Wu Jiliu Zhou Yan Wang OOD 29 1 0 30 Aug 2024
CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis Muhammad Alberb Marawan Elbatel Aya Elgebaly R. Montoya-del-Angel Xiaomeng Li Robert Martí 26 0 0 24 Jul 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis Degan Hao Dooman Arefan M. Zuley Wendie Berg Shandong Wu OOD MedIm 44 1 0 13 Feb 2024
Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection Lukas Hirsch Yu Huang H. Makse Danny F. Martinez Mary Hughes Sarah Eskreis-Winkler Katja Pinker Elizabeth A. Morris Lucas C. Parra Elizabeth J. Sutton 13 0 0 29 Nov 2023
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector Yen Nhi Truong Vu Dan Guo Ahmed Taha Jason Su Thomas P. Matthews 30 3 0 11 Aug 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening Yijun Yang Shujun Wang Lihao Liu S. Hickman F. Gilbert Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 24 6 0 02 Aug 2023
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples Andrew H. Song Mane Williams Drew F. K. Williamson Guillaume Jaume Andrew Zhang ... R. Serafin Jonathan T. C. Liu Alexander S. Baras Anil V. Parwani Faisal Mahmood 17 4 0 27 Jul 2023
Domain Generalization for Mammographic Image Analysis with Contrastive Learning Zheren Li Zhiming Cui Lichi Zhang Sheng Wang Chenjin Lei ... Yajia Gu Zaiyi Liu Chunling Liu Dinggang Shen Jie‐Zhi Cheng 26 2 0 20 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 38 51 0 13 Apr 2023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 29 2 0 23 Dec 2022
Computer-Aided Cancer Diagnosis via Machine Learning and Deep Learning: A comparative review Solene Bechelli 18 2 0 19 Oct 2022
An efficient deep neural network to find small objects in large 3D images Jungkyu Park Jakub Chlkedowski Stanislaw Jastrzebski Jan Witowski Yan Xu ... Melanie Wegener Linda Moy Laura Heacock B. Reig Krzysztof J. Geras MedIm 23 1 0 16 Oct 2022
Deep is a Luxury We Don't Have Ahmed Taha Yen Nhi Truong Vu Brent Mombourquette Thomas P. Matthews Jason Su Sadanand Singh ViT MedIm 26 2 0 11 Aug 2022
Independent evaluation of state-of-the-art deep networks for mammography O. M. Velarde Lucas Parrra OOD 28 0 0 22 Jun 2022
Preparing data for pathological artificial intelligence with clinical-grade performance Yuanqing Yang K. Sun Yanhua Gao Kuang-Heng Wang Gang Yu OOD 32 1 0 22 May 2022
Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI Xirui Hou Pengfei Guo Puyang Wang Peiying Liu D. Lin ... B. Welch Denise C. Park V. Patel A. Hillis Hanzhang Lu 18 14 0 25 Apr 2022
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory D. Rippner P. Raja Mason Earles A. Buchko M. Momayyezi ... Dilworth Parkinson Elizabeth Forrestel K. Shackel Jeffrey Neyhart A. McElrone 33 0 0 18 Mar 2022
Multi-task fusion for improving mammography screening data classification M. Wimmer Gert Sluiter David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Katja Bühler 18 8 0 01 Dec 2021
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning Zheren Li Zhiming Cui Sheng Wang Yuji Qi Xi Ouyang Qitian Chen Yuezhi Yang Zhong Xue Dinggang Shen Jie Cheng OOD MedIm 33 39 0 21 Nov 2021
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning Zhen Chen Meilu Zhu Chen Yang Yixuan Yuan OOD 33 38 0 01 Oct 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 16 1 0 30 May 2021
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model Mateusz Buda Ashirbani Saha R. Walsh S. Ghate Nianyi Li Albert Swiecicki J. Lo Maciej A. Mazurowski 18 52 0 13 Nov 2020
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms Eric Wu K. Wu William Lotter GAN MedIm 19 16 0 29 May 2020
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis Sadanand Singh Thomas P. Matthews Meet Shah Brent Mombourquette Trevor Tsue Aaron Long Ranya Almohsen S. Pedemonte Jason Su 18 19 0 23 Jan 2020