Rui Hou

18 papers Journal 4Unranked 13
YearRankTypeTitle / Venue / Authors
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 — —
Machine Learning Approaches to Improve Diagnosis and Management of Mammographic Calcifications.
Rui Hou
2020 — conf
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.
Computer-Aided Diagnosis
Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020 — conf
Attention-guided classification of abnormalities in semi-structured computed tomography reports.
Computer-Aided Diagnosis
Khrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Geoffrey D. Rubin, 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
2020 J jnl
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.
IEEE Trans. Biomed. Eng.
Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020 J jnl
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features.
CoRR
Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2020 J jnl
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.
CoRR
Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo
2020 — conf
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.
Computer-Aided Diagnosis
Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, 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
Classification of chest CT using case-level weak supervision.
Computer-Aided Diagnosis
Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, 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 — 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
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Computer-Aided Diagnosis
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
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