Yinhao Ren

21 papers Journal 9Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms.
MICCAI (4)
Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo
2025 J jnl
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms.
CoRR
Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo
2024 J jnl
Fat-Water Signal-Based Electrical Properties Tomography Using the Dixon Technique.
IEEE Trans. Instrum. Meas.
Yinhao Ren, Kecheng Yuan, Guofang Xu, Chunyou Ye, Feng Liu, Bensheng Qiu, Xiang Nan, Jijun Han
2023 J jnl
Effects of radiofrequency channel numbers on B1+ mapping using the Bloch-Siegert shift method.
NeuroImage
Yinhao Ren, Yunyu Gao, Bensheng Qiu, Xiang Nan, Jijun Han
2023 J jnl
Ipsilateral Lesion Detection Refinement for Tomosynthesis.
IEEE Trans. Medical Imaging
Yinhao Ren, Xuan Liu, Jun Ge, Zisheng Liang, Xiaoming Xu, Lars J. Grimm, Jonathan Go, Jeffrey R. Marks, Joseph Y. Lo
2023 — conf
Multi-view DBT grid-attention detection framework.
Computer-Aided Diagnosis
Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo
2023 — —
Read like a Radiologist: Cancer Detection using Multi-view Correspondence in Digital Breast Tomosynthesis.
Yinhao Ren
2022 J jnl
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.
IEEE Trans. Biomed. Eng.
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
2021 J jnl
A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell.
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021 J jnl
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021 J jnl
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021 — conf
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline.
MICCAI (5)
Yinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo
2020 — conf
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.
Computer-Aided Diagnosis
Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo
2019 — conf
2.5D CNN model for detecting lung disease using weak supervision.
Computer-Aided Diagnosis
Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin, Joseph Y. Lo
2019 — conf
Malignant microcalcification clusters detection using unsupervised deep autoencoders.
Computer-Aided Diagnosis
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
2019 — conf
Mask Embedding for Realistic High-Resolution Medical Image Synthesis.
MICCAI (6)
Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019 J jnl
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images.
CoRR
Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo
2019 — conf
Multiview mammographic mass detection based on a single shot detection system.
Computer-Aided Diagnosis
Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019 — conf
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.
Computer-Aided Diagnosis
Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2018 — conf
Anomaly detection for medical images based on a one-class classification.
Computer-Aided Diagnosis
Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
2018 — conf
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
Computer-Aided Diagnosis
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