Manisha Bahl
Harvard University(US)Massachusetts General Hospital(US)
Publications by Year
Research Areas
Digital Radiography and Breast Imaging, AI in cancer detection, Breast Cancer Treatment Studies, Radiomics and Machine Learning in Medical Imaging, Breast Lesions and Carcinomas
Most-Cited Works
- → Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation(2018)275 cited
- → Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT(2023)240 cited
- → High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision(2017)181 cited
- → How to Perform Parathyroid 4D CT: Tips and Traps for Technique and Interpretation(2013)163 cited
- → American Joint Committee on Cancer’s Staging System for Breast Cancer, Eighth Edition: What the Radiologist Needs to Know(2018)130 cited
- → Parathyroid Adenomas and Hyperplasia on Four-dimensional CT Scans: Three Patterns of Enhancement Relative to the Thyroid Gland Justify a Three-Phase Protocol(2015)125 cited
- → Architectural Distortion on Mammography: Correlation With Pathologic Outcomes and Predictors of Malignancy(2015)123 cited
- → Assessing Risk of Breast Cancer: A Review of Risk Prediction Models(2021)114 cited
- → Pathologic Outcomes of Architectural Distortion on Digital 2D Versus Tomosynthesis Mammography(2017)98 cited
- → Breast Cancer Characteristics Associated with 2D Digital Mammography versus Digital Breast Tomosynthesis for Screening-detected and Interval Cancers(2017)87 cited