Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Joseph Y. Lo

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


Mar 23, 2021
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

* 24 pages, 5 figures, 2 tables 

  Access Paper or Ask Questions

Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning


Feb 25, 2021
Vincent M. D'Anniballe, Fakrul I. Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo


  Access Paper or Ask Questions

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model


Nov 13, 2020
Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata Ghate, Nianyi Li, Albert Święcicki, Joseph Y. Lo, Maciej A. Mazurowski


  Access Paper or Ask Questions

Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features


Oct 31, 2020
Anindo Saha, Fakrul I. Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

* Accepted to 2020 SPIE Medical Imaging: Computer-Aided Diagnosis [oral presentation] 

  Access Paper or Ask Questions

iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry


Aug 20, 2020
Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William P. Segars, Ehsan Samei

* Main text: 11 pages, 8 figures; Supplement material: 7 pages, 5 figures, 7 tables 

  Access Paper or Ask Questions

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans


Aug 03, 2020
Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo

* 8 pages, 5 figures, 2 tables 

  Access Paper or Ask Questions

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes


Feb 17, 2020
Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin

* 18 pages, 3 figures, 5 tables (appendices additional) 

  Access Paper or Ask Questions