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Rui Hou 0002
Person information
- affiliation: Duke University, Durham, NC, USA
Other persons with the same name
- Rui Hou — disambiguation page
- Rui Hou 0001 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
- Rui Hou 0003 — South-Central University for Nationalities, Wuhan, Hubei, China
- Rui Hou 0004 — North China Electric Power University, Beijing, China
- Rui Hou 0005 — Chengdu University of Technology, Chengdu, China
- Rui Hou 0006 — Guangdong University of Technology, Guangzhou, China
- Rui Hou 0007 — University of Michigan, Ann Arbor, MI, USA
- Rui Hou 0008 — Niantic Labs, Sunnyvale, CA, USA (and 1 more)
- Rui Hou 0009 — Guangdong University of Technology, Guangzhou, Guangdong, China
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2020 – today
- 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
- [b1]Rui Hou:
Machine Learning Approaches to Improve Diagnosis and Management of Mammographic Calcifications. Duke University, Durham, NC, USA, 2021 - 2020
- [j1]Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. IEEE Trans. Biomed. Eng. 67(6): 1565-1572 (2020) - [c13]Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c12]Khrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo:
Attention-guided classification of abnormalities in semi-structured computed tomography reports. Medical Imaging: Computer-Aided Diagnosis 2020 - [c11]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 - [c10]Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Medical Imaging: Computer-Aided Diagnosis 2020 - [i2]Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. CoRR abs/2008.01158 (2020) - [i1]Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. CoRR abs/2011.00149 (2020)
2010 – 2019
- 2019
- [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo:
Classification of chest CT using case-level weak supervision. Medical Imaging: Computer-Aided Diagnosis 2019: 1095017 - [c4]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 - 2018
- [c3]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:
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Medical Imaging: Computer-Aided Diagnosis 2018: 105750R - [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
Coauthor Index
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last updated on 2024-09-13 01:39 CEST by the dblp team
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