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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


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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] 

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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 

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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 

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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) 

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