Constance Lehman

20PUBLICATIONS
115CO-AUTHORS
Deep learningCancer diagnosisNgā tikanga mātauranga o te Māori (Māori educational methods)Satisfiability and optimisationPredictive and prognostic markers
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Publications (20)

|Jun 23, 2026
Longitudinal Analysis of Changes in Deep Learning Image-based Breast Cancer Risk Scores over Time.

|Apr 06, 2026
Performance of an image-only deep learning breast cancer risk model with the addition of a polygenic risk score.

Shadi Azam, Leslie R Lamb, A Heather Eliassen

|Apr 01, 2025
MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial).

Kalina P Slavkova, Ruya Kang, Anum S Kazerouni

|Sep 19, 2023
Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI.

Leslie R Lamb, Sarah F Mercaldo, Kimeya Ghaderi

|May 23, 2023
Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis.

Jung Hyun Yoon, Fredrik Strand, Pascal A T Baltzer

|Jul 25, 2022
Deep Learning vs Traditional Breast Cancer Risk Models to Support Risk-Based Mammography Screening.

Constance D Lehman, Sarah Mercaldo, Leslie R Lamb

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Frequent Collaborators

5 joint publications

Manisha Bahl

5 joint publications

Sarah Mercaldo

4 joint publications

Fredrik Strand

4 joint publications

Adam Yala