Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. - Mengyu Wang 001; Jing Zhang; Lars J. Grimm; Sujata V. Ghate; Ruth Walsh; Karen S. Johnson; Joseph Y. Lo; Maciej A. Mazurowski (Image Perception, Observer Performance, and Technology Assessment, 2016)

A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases. - Mengyu Wang 001; Meng Wang; Lars J. Grimm; Maciej A. Mazurowski (Expert Syst. Appl., 2016)

Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. - Mengyu Wang 001; Jing Zhang; Lars J. Grimm; Sujata V. Ghate; Ruth Walsh; Karen S. Johnson; Joseph Y. Lo; Maciej A. Mazurowski (Expert Syst. Appl., 2016)

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)

Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. - Ashirbani Saha; Michael R. Harowicz; Lars J. Grimm; Connie E. Kim; Ruth Walsh; Sujata V. Ghate; Maciej A. Mazurowski (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)

Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. - Jun Zhang 018; Sujata V. Ghate; Lars J. Grimm; Ashirbani Saha; Elizabeth Hope Cain; Zhe Zhu; Maciej A. Mazurowski (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)

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. - Dehan Kong; Yinhao Ren; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Multiview mammographic mass detection based on a single shot detection system. - Yinhao Ren; Rui Hou 002; Dehan Kong; Yue Geng; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Mask Embedding for Realistic High-Resolution Medical Image Synthesis. - Yinhao Ren; Zhe Zhu; Yingzhou Li; Dehan Kong; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (MICCAI (6), 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)

Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. - Yinhao Ren; Jiafeng Lu; Zisheng Liang; Lars J. Grimm; Connie E. Kim; Michael Taylor-Cho; Sora Yoon; Jeffrey R. Marks; Joseph Y. Lo (MICCAI (5), 2021)

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)

Multi-view DBT grid-attention detection framework. - Xuan Liu; Yinhao Ren; Zisheng Liang; Lars J. Grimm; Jun Ge; Joseph Y. Lo (Computer-Aided Diagnosis, 2023)

A user interface to communicate interpretable AI decisions to radiologists. - Yanchen Jessie Ou; Alina Jade Barnett; Anika Mitra; Fides Regina Schwartz; Chaofan Chen; Lars J. Grimm; Joseph Y. Lo; Cynthia Rudin (Image Perception, Observer Performance, and Technology Assessment, 2023)

A user interface to communicate interpretable AI decisions to radiologists (Erratum). - Yanchen Ou; Alina Jade Barnett; Anika Mitra; Fides Regina Schwartz; Chaofan Chen; Lars J. Grimm; Joseph Y. Lo; Cynthia Rudin (Image Perception, Observer Performance, and Technology Assessment, 2023)

Ipsilateral Lesion Detection Refinement for Tomosynthesis. - Yinhao Ren; Xuan Liu; Jun Ge; Zisheng Liang; Xiaoming Xu; Lars J. Grimm; Jonathan Go; Jeffrey R. Marks; Joseph Y. Lo (IEEE Trans. Medical Imaging, 2023)

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms. - Xuan Liu; Yinhao Ren; Marc D. Ryser; Lars J. Grimm; Joseph Y. Lo (CoRR, 2025)

BreastSegNet: Multi-label Segmentation of Breast MRI. - Qihang Li; Jichen Yang; Yaqian Chen; Yuwen Chen 003; Hanxue Gu; Lars J. Grimm; Maciej A. Mazurowski (CoRR, 2025)