Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. - Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2017)

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? - Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2017)

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. - Rui Hou 002; Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2018)

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. - Bibo Shi; Rui Hou 002; Maciej A. Mazurowski; Lars J. Grimm; Yinhao Ren; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2018)

Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. - Zhe Zhu; Michael R. Harowicz; Jun Zhang 018; Ashirbani Saha; Lars J. Grimm; Eun-Sil Shelley Hwang; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2018)

Malignant microcalcification clusters detection using unsupervised deep autoencoders. - Rui Hou 002; Yinhao Ren; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. - Zhe Zhu; Michael R. Harowicz; Jun Zhang 018; Ashirbani Saha; Lars J. Grimm; Eun-Sil Shelley Hwang; Maciej A. Mazurowski (Comput. Biol. Medicine, 2019)

A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. - Rui Hou 002; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. - Yifan Peng 004; Rui Hou 002; Yinhao Ren; Lars J. Grimm; Jeffrey R. Marks; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. - Rui Hou 002; Maciej A. Mazurowski; Lars J. Grimm; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (IEEE Trans. Biomed. Eng., 2020)

A new method to accurately identify single nucleotide variants using small FFPE breast samples. - Angelo Fortunato; Diego Mallo; Shawn M. Rupp; Lorraine M. King; Timothy Hardman; Joseph Y. Lo; Allison H. Hall; Jeffrey R. Marks; Eun-Sil Shelley Hwang; Carlo C. Maley (Briefings Bioinform., 2021)

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. - Faranak Sobhani; Azam Hamidinekoo; Allison H. Hall; Lorraine M. King; Jeffrey R. Marks; Carlo C. Maley; Hugo M. Horlings; Eun-Sil Shelley Hwang; Yinyin Yuan (ISBI, 2022)

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence. - Yeman Brhane Hagos; Faranak Sobhani; Simon P. Castillo; Allison H. Hall; Khalid AbdulJabbar; Roberto Salgado; Bryan Harmon; Kristalyn Gallagher; Mark Kilgore; Lorraine M. King; Jeffrey R. Marks; Carlo C. Maley; et al. (AIIIMA/MIABID@MICCAI, 2022)

Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. - Rui Hou 002; Yifan Peng 004; Lars J. Grimm; Yinhao Ren; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (IEEE Trans. Biomed. Eng., 2022)

Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding. - John C. Rollman; Bruce Rogers; Hamed Zaribafzadeh; Daniel Buckland; Ursula Rogers; Jennifer Gagnon; Ozanan Meireles; Lindsay Jennings; Jim Bennett; Jennifer Nicholson; Nandan Lad; Linda Cendales; et al. (CoRR, 2025)

Breast density in MRI: an AI-based quantification and relationship to assessment in mammography. - Yaqian Chen; Lin Li; Hanxue Gu; Haoyu Dong 003; Derek L. Nguyen; Allan D. Kirk; Maciej A. Mazurowski; Eun-Sil Shelley Hwang (CoRR, 2025)