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Yinhao Ren
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2020 – today
- 2023
- [b1]Yinhao Ren:
Read like a Radiologist: Cancer Detection using Multi-view Correspondence in Digital Breast Tomosynthesis. Duke University, Durham, NC, USA, 2023 - [j4]Yinhao Ren, Yunyu Gao, Bensheng Qiu, Xiang Nan, Jijun Han:
Effects of radiofrequency channel numbers on B1+ mapping using the Bloch-Siegert shift method. NeuroImage 279: 120308 (2023) - [j3]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) - [c10]Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo:
Multi-view DBT grid-attention detection framework. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [j2]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
- [j1]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. 3(12): 1061-1070 (2021) - [c9]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 - [i3]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR abs/2103.12308 (2021) - [i2]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR abs/2107.05605 (2021) - 2020
- [c8]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. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c7]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. Medical Imaging: Computer-Aided Diagnosis 2019: 109500E - [c6]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. Medical Imaging: Computer-Aided Diagnosis 2019: 109502Q - [c5]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. Medical Imaging: Computer-Aided Diagnosis 2019: 109502M - [c4]Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin, Joseph Y. Lo:
2.5D CNN model for detecting lung disease using weak supervision. Medical Imaging: Computer-Aided Diagnosis 2019: 109503O - [c3]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 - [i1]Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo:
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. CoRR abs/1907.01710 (2019) - 2018
- [c2]Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin:
Anomaly detection for medical images based on a one-class classification. Medical Imaging: Computer-Aided Diagnosis 2018: 105751M - [c1]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. Medical Imaging: Computer-Aided Diagnosis 2018: 105752R
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