Yinhao Ren

According to our database, Yinhao Ren authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fat-Water Signal-Based Electrical Properties Tomography Using the Dixon Technique.

Yinhao Ren, Kecheng Yuan, Guofang Xu, Chunyou Ye, Feng Liu, Bensheng Qiu, Xiang Nan, Jijun Han

IEEE Trans. Instrum. Meas., 2024

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, October, 2023

Effects of radiofrequency channel numbers on B1+ mapping using the Bloch-Siegert shift method.

Yinhao Ren, Yunyu Gao, Bensheng Qiu, Xiang Nan, Jijun Han

NeuroImage, October, 2023

Read like a Radiologist: Cancer Detection using Multi-view Correspondence in Digital Breast Tomosynthesis.

Yinhao Ren

PhD thesis, 2023

Multi-view DBT grid-attention detection framework.

Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.

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

IEEE Trans. Biomed. Eng., 2022

2021

A case-based interpretable deep learning model for classification of mass lesions in digital mammography.

Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

Nat. Mach. Intell., 2021

Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.

Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

CoRR, 2021

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.

Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

CoRR, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.

Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images.

Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo

CoRR, 2019

Mask Embedding for Realistic High-Resolution Medical Image Synthesis.

Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multiview mammographic mass detection based on a single shot detection system.

Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.

Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Malignant microcalcification clusters detection using unsupervised deep autoencoders.

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2.5D CNN model for detecting lung disease using weak supervision.

Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Anomaly detection for medical images based on a one-class classification.

Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin

Proceedings of the Medical Imaging 2018: 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, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018