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Masoom Haider

27PUBLICATIONS

75CO-AUTHORS

Adversarial machine learningDeep learningPredictive and prognostic markersDisease surveillanceNgā pūnaha whakahaere mōhiohio me te mātauranga o te Māori (Māori information and knowledge management systems)

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Publications (27)

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|Dec 19, 2025

AI-Based Segmentation Reduces the Retrospective Miss Rate of Pancreatic Ductal Adenocarcinoma.

Andres Kohan, Robert C Grant, David Henault

|Sep 12, 2025

Training With Local Data Remains Important for Deep Learning MRI Prostate Cancer Detection.

Shawn G Carere, John Jewell, Paola V Nasute Fauerbach

|Jul 31, 2025

Invited Commentary: Is the Prostate Imaging for Recurrence Reporting System Ready for Adoption?

Adriano B Dias, Masoom A Haider

|Apr 15, 2025

Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

Baris Turkbey, Henkjan Huisman, Andriy Fedorov

|Apr 01, 2025

Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.

Rajesh Bhayana, Ankush Jajodia, Tanya Chawla

|Mar 17, 2025

Overnight emergency radiologist coverage model with preserved resident autonomy: impact on report turnaround times and resident experience.

Rawan Abu Mughli, Deyvison T Baia Medeiros, Róisín MacDermott

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Frequent Collaborators

5 joint publications

Sangeet Ghai

3 joint publications

Nathan Perlis

2 joint publications

Anwar R Padhani

2 joint publications

Daniel J Margolis

2 joint publications

Baris Turkbey

2 joint publications

Rajesh Bhayana

1 joint publications

Michelle Zhang

1 joint publications

Laurent Milot

1 joint publications

Andrew B Rosenkrantz

1 joint publications

Emmanuel Salinas-Miranda

Frequent Collaborators

5 joint publications

Sangeet Ghai

3 joint publications

Nathan Perlis

2 joint publications

Anwar R Padhani

2 joint publications

Daniel J Margolis

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