Joseph Y Lo

17PUBLICATIONS

74CO-AUTHORS

Natural language processingModelling and simulationCancer diagnosisPredictive and prognostic markersDeep learning

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Publications (17)

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|Jun 01, 2026

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.

|Feb 17, 2026

Utility of the virtual imaging trials methodology for objective characterization of AI systems and training data.

Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima

|Nov 18, 2025

Cross-National Radiomics Validation Using Mammography to Predict Occult Invasion in Ductal Carcinoma in Situ.

Rui Hou, Lars J Grimm, Jeffrey R Marks

|May 26, 2025

Improving annotation efficiency for fully labeling a breast mass segmentation dataset.

Vaibhav Sharma, Alina Jade Barnett, Julia Yang

|Apr 16, 2025

The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT.

Avivah J Wang, Fakrul Islam Tushar, Michael R Harowicz

|Aug 26, 2024

Evolutionary Measures Show that Recurrence of DCIS is Distinct from Progression to Breast Cancer.

Angelo Fortunato, Diego Mallo, Luis Cisneros

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Frequent Collaborators

Lars J Grimm

E Shelley Hwang

Rui Hou

Ehsan Samei

Nicholas Stone

Maciej A Mazurowski

Thomas Lynch

Alina Jade Barnett

Fides Schwartz

Cynthia Rudin

Frequent Collaborators

Lars J Grimm

E Shelley Hwang

Rui Hou

Ehsan Samei