| Anomaly detection for medical images based on a one-class classification Q Wei, Y Ren, R Hou, B Shi, JY Lo, L Carin Medical Imaging 2018: Computer-Aided Diagnosis 10575, 375-380, 2018 | 96 | 2018 |
| A case-based interpretable deep learning model for classification of mass lesions in digital mammography AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin Nature Machine Intelligence 3 (12), 1061-1070, 2021 | 91 | 2021 |
| Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning B Shi, R Hou, MA Mazurowski, LJ Grimm, Y Ren, JR Marks, LM King, ... Medical imaging 2018: computer-aided diagnosis 10575, 620-625, 2018 | 17 | 2018 |
| Anomaly detection of calcifications in mammography based on 11,000 negative cases R Hou, Y Peng, LJ Grimm, Y Ren, MA Mazurowski, JR Marks, LM King, ... IEEE Transactions on Biomedical Engineering 69 (5), 1639-1650, 2021 | 16 | 2021 |
| Mask embedding for realistic high-resolution medical image synthesis Y Ren, Z Zhu, Y Li, D Kong, R Hou, LJ Grimm, JR Marks, JY Lo Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 14 | 2019 |
| Interpretable mammographic image classification using case-based reasoning and deep learning AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin arXiv preprint arXiv:2107.05605, 2021 | 12 | 2021 |
| 2.5 D CNN model for detecting lung disease using weak supervision Y Geng, Y Ren, R Hou, S Han, GD Rubin, JY Lo Medical imaging 2019: computer-aided diagnosis 10950, 924-928, 2019 | 9 | 2019 |
| Retina-match: ipsilateral mammography lesion matching in a single shot detection pipeline Y Ren, J Lu, Z Liang, LJ Grimm, C Kim, M Taylor-Cho, S Yoon, JR Marks, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 8 | 2021 |
| Methods, systems, and computer readable media for mask embedding for realistic high-resolution image synthesis Y Ren, JYC Lo US Patent 11,580,673, 2023 | 5 | 2023 |
| Mask embedding in conditional GAN for guided synthesis of high resolution images Y Ren, Z Zhu, Y Li, J Lo arXiv preprint arXiv:1907.01710, 2019 | 4 | 2019 |
| Evaluation of statistical breast phantoms with higher resolution J Rajagopal, GM Sturgeon, XC Chen, TJ Sauer, Y Ren, WP Segars, JY Lo Medical Imaging 2018: Physics of Medical Imaging 10573, 43-50, 2018 | 4 | 2018 |
| Malignant microcalcification clusters detection using unsupervised deep autoencoders R Hou, Y Ren, LJ Grimm, MA Mazurowski, JR Marks, L King, CC Maley, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 699-706, 2019 | 3 | 2019 |
| Multiview mammographic mass detection based on a single shot detection system Y Ren, R Hou, D Kong, Y Geng, LJ Grimm, JR Marks, JY Lo Medical Imaging 2019: Computer-Aided Diagnosis 10950, 88-93, 2019 | 3 | 2019 |
| Ipsilateral Lesion Detection Refinement for Tomosynthesis Y Ren, X Liu, J Ge, Z Liang, X Xu, LJ Grimm, J Go, JR Marks, JY Lo IEEE Transactions on Medical Imaging, 2023 | 2 | 2023 |
| Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index Y Peng, R Hou, Y Ren, LJ Grimm, JR Marks, ES Hwang, JY Lo Medical Imaging 2020: Computer-Aided Diagnosis 11314, 1131403, 2020 | 2 | 2020 |
| Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network D Kong, Y Ren, R Hou, LJ Grimm, JR Marks, JY Lo Medical Imaging 2019: Computer-Aided Diagnosis 10950, 671-676, 2019 | 1 | 2019 |
| A residual-attention multimodal fusion network (ResAMF-Net) for detection and classification of breast cancer X Liu, Y Ren, M Ryser, LJ Grimm, JY Lo Medical Imaging 2024: Computer-Aided Diagnosis 12927, 474-478, 2024 | | 2024 |
| Multi-view DBT grid-attention detection framework X Liu, Y Ren, Z Liang, LJ Grimm, J Ge, JY Lo Medical Imaging 2023: Computer-Aided Diagnosis 12465, 88-92, 2023 | | 2023 |
Joseph Y. LoProfessor of Radiology, Biomed. Engineering, Elec. Engineering, Med PhysicsVerified email at duke.edu
