Laura Heacock

NYU Langone Health — United States

Medicine · Health Sciences

24h-index4.2kcitations85works1.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(40), MRI in cancer diagnosis(26), AI in cancer detection(25), Advanced MRI Techniques and Applications(16), Medical Imaging Techniques and Applications(12)

Publications85 total

Breast US: State of the Art
Radiology·2026
Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
2025Open Access
Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
arXiv (Cornell University)·2025Open Access
Understanding differences in applying DETR to natural and medical images
The Journal of Machine Learning for Biomedical Imaging·2025· 2 citedOpen Access
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
arXiv (Cornell University)·2025· 2 citedOpen Access
Dynamic MRI with Locally Low-Rank Subspace Constraint: Towards 1-Second Temporal Resolution Aided by Deep Learning
2025Open Access
FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI
Radiology Artificial Intelligence·2025· 4 citedOpen Access
Multi-modal large language models in radiology: principles, applications, and potential
Abdominal Radiology·2024· 17 cited
fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Sub-Second GRASP-LLR DCE: Locally Low-Rank Subspace Constraint aided by Deep Learning
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Invasive Lobular Carcinoma in the Screening Setting
Journal of Breast Imaging·2024· 2 cited
A training regime to learn unified representations from complementary breast imaging modalities
arXiv (Cornell University)·2024Open Access
Realistic Digital Reference Object (DRO) toolkit for quantitative breast Ultra-Fast Dynamic Contrast-Enhanced (UF-DCE) MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
arXiv (Cornell University)·2024· 1 citedOpen Access
Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods
Magnetic Resonance in Medicine·2024Open Access
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data
arXiv (Cornell University)·2023· 10 citedOpen Access
Problem-solving Breast MRI
Radiographics·2023· 7 cited
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects
IEEE Transactions on Medical Imaging·2023· 5 citedOpen Access
PACS-integrated machine learning breast density classifier: clinical validation
Clinical Imaging·2023· 2 cited
Improving Information Extraction from Pathology Reports using Named Entity Recognition
Research Square (Research Square)·2023· 7 citedOpen Access
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Frequent Co-authors

Linda Moy(32), Beatriu Reig(18), Alana A. Lewin(16), Krzysztof J. Geras(16), Yiqiu Shen(12), Sungheon Kim(10), Nan Wu(8), Yiming Gao(8), James S. Babb(8), Jungkyu Park(7), Eric Kim(7), Kristine Pysarenko(7), Naziya Samreen(7), Kyunghyun Cho(7), Samantha L. Heller(7), Stacey Wolfson(6), Jan Witowski(6), Jason Phang(5), Ujas Parikh(5), Chloe Chhor(5)