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2020 – today
- 2023
[j6]Yinhao Ren
, Xuan Liu, Jun Ge, Zisheng Liang, Xiaoming Xu, Lars J. Grimm, Jonathan Go, Jeffrey R. Marks, Joseph Y. Lo:
Ipsilateral Lesion Detection Refinement for Tomosynthesis. IEEE Trans. Medical Imaging 42(10): 3080-3090 (2023)- [c18]Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo:
Multi-view DBT grid-attention detection framework. Computer-Aided Diagnosis 2023 - [c17]Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin:
A user interface to communicate interpretable AI decisions to radiologists. Image Perception, Observer Performance, and Technology Assessment 2023 - [c16]Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin:
A user interface to communicate interpretable AI decisions to radiologists (Erratum). Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j5]Rui Hou, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. 69(5): 1639-1650 (2022) - 2021
- [c15]Yinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo:
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. MICCAI (5) 2021: 345-354 - 2020
- [j4]Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. IEEE Trans. Biomed. Eng. 67(6): 1565-1572 (2020) - [c14]Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. Computer-Aided Diagnosis 2020 - [c13]Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j3]Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski:
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput. Biol. Medicine 115 (2019) - [c12]Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Multiview mammographic mass detection based on a single shot detection system. Computer-Aided Diagnosis 2019: 109500E - [c11]Rui Hou, Yinhao Ren, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Malignant microcalcification clusters detection using unsupervised deep autoencoders. Computer-Aided Diagnosis 2019: 109502Q - [c10]Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. Computer-Aided Diagnosis 2019: 109502M - [c9]Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Mask Embedding for Realistic High-Resolution Medical Image Synthesis. MICCAI (6) 2019: 422-430 - 2018
- [c8]Rui Hou, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Computer-Aided Diagnosis 2018: 105750R - [c7]Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. Computer-Aided Diagnosis 2018: 105752R - [c6]Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski:
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. Computer-Aided Diagnosis 2018: 105752V - [c5]Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski:
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. Computer-Aided Diagnosis 2018: 105752W - [c4]Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Ruth Walsh, Sujata V. Ghate, Maciej A. Mazurowski:
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. Computer-Aided Diagnosis 2018: 1057507 - 2017
- [c3]Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. Computer-Aided Diagnosis 2017: 101341I - [c2]Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? Computer-Aided Diagnosis 2017: 101342X - [i1]Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski:
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. CoRR abs/1711.10577 (2017) - 2016
- [j2]Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski:
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. Expert Syst. Appl. 56: 1-8 (2016) - [j1]Mengyu Wang, Meng Wang, Lars J. Grimm, Maciej A. Mazurowski:
A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases. Expert Syst. Appl. 64: 490-499 (2016) - [c1]Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski:
Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. Image Perception, Observer Performance, and Technology Assessment 2016: 978709
Coauthor Index
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