Rui Hou

According to our database, Rui Hou authored at least 17 papers between 2018 and 2022.

Collaborative distances:

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

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

Machine Learning Approaches to Improve Diagnosis and Management of Mammographic Calcifications.

Rui Hou

PhD thesis, 2021

2020

Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.

Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

IEEE Trans. Biomed. Eng., 2020

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.

Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo

CoRR, 2020

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.

Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

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

Attention-guided classification of abnormalities in semi-structured computed tomography reports.

Khrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

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

A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.

Rui Hou, 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 2020: Computer-Aided Diagnosis, 2020

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

Classification of chest CT using case-level weak supervision.

Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

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

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.

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

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