| Anomaly detection for medical images based on a one-class classification Q Wei, Y Ren, R Hou, B Shi, JY Lo, L Carin Medical Imaging 2018: Computer-Aided Diagnosis 10575, 375-380, 2018 | 97 | 2018 |
| Automatic solar photovoltaic panel detection in satellite imagery JM Malof, R Hou, LM Collins, K Bradbury, R Newell 2015 International Conference on Renewable Energy Research and Applications …, 2015 | 94 | 2015 |
| Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation R Hou, MA Mazurowski, LJ Grimm, JR Marks, LM King, CC Maley, ... IEEE Transactions on Biomedical Engineering 67 (6), 1565-1572, 2019 | 25 | 2019 |
| Prediction of upstaging in ductal carcinoma in situ based on mammographic radiomic features R Hou, LJ Grimm, MA Mazurowski, JR Marks, LM King, CC Maley, ... Radiology 303 (1), 54-62, 2022 | 21 | 2022 |
| Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning B Shi, R Hou, MA Mazurowski, LJ Grimm, Y Ren, JR Marks, LM King, ... Medical imaging 2018: computer-aided diagnosis 10575, 620-625, 2018 | 17 | 2018 |
| Anomaly detection of calcifications in mammography based on 11,000 negative cases R Hou, Y Peng, LJ Grimm, Y Ren, MA Mazurowski, JR Marks, LM King, ... IEEE Transactions on Biomedical Engineering 69 (5), 1639-1650, 2021 | 16 | 2021 |
| Classification of multiple diseases on body CT scans using weakly supervised deep learning FI Tushar, VM D’Anniballe, R Hou, MA Mazurowski, W Fu, E Samei, ... Radiology: Artificial Intelligence 4 (1), e210026, 2021 | 14 | 2021 |
| Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology W Fu, S Sharma, T Smith, R Hou, E Abadi, V Selvakumaran, R Tang, ... Medical Imaging 2019: Physics of Medical Imaging 10948, 568-573, 2019 | 14 | 2019 |
| Mask embedding for realistic high-resolution medical image synthesis Y Ren, Z Zhu, Y Li, D Kong, R Hou, LJ Grimm, JR Marks, JY Lo Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 14 | 2019 |
| Attention-guided classification of abnormalities in semi-structured computed tomography reports K Faryna, FI Tushar, VM D'Anniballe, R Hou, GD Rubin, JY Lo Medical Imaging 2020: Computer-Aided Diagnosis 11314, 397-403, 2020 | 11 | 2020 |
| Mixed-methods study to predict upstaging of DCIS to invasive disease on mammography LJ Grimm, B Neely, R Hou, V Selvakumaran, JA Baker, SC Yoon, ... American Journal of Roentgenology 216 (4), 903-911, 2021 | 10 | 2021 |
| Classification of chest CT using case-level weak supervision R Tang, FI Tushar, S Han, R Hou, GD Rubin, JY Lo Medical Imaging 2019: Computer-Aided Diagnosis 10950, 303-310, 2019 | 9 | 2019 |
| 2.5 D CNN model for detecting lung disease using weak supervision Y Geng, Y Ren, R Hou, S Han, GD Rubin, JY Lo Medical imaging 2019: computer-aided diagnosis 10950, 924-928, 2019 | 9 | 2019 |
| Predicting upstaging of DCIS to invasive disease: radiologists's predictive performance V Selvakumaran, R Hou, JA Baker, SC Yoon, SV Ghate, R Walsh, ... Academic radiology 27 (11), 1580-1585, 2020 | 6 | 2020 |
| A multi-task deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in situ and segmenting microcalcifications in mammography R Hou, LJ Grimm, MA Mazurowski, JR Marks, LM King, CC Maley, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 1131405, 2020 | 5 | 2020 |
| Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features A Saha, FI Tushar, K Faryna, VM D'Anniballe, R Hou, MA Mazurowski, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 39-44, 2020 | 5 | 2020 |
| Malignant microcalcification clusters detection using unsupervised deep autoencoders R Hou, Y Ren, LJ Grimm, MA Mazurowski, JR Marks, L King, CC Maley, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 699-706, 2019 | 3 | 2019 |
| Multiview mammographic mass detection based on a single shot detection system Y Ren, R Hou, D Kong, Y Geng, LJ Grimm, JR Marks, JY Lo Medical Imaging 2019: Computer-Aided Diagnosis 10950, 88-93, 2019 | 3 | 2019 |
| Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index Y Peng, R Hou, Y Ren, LJ Grimm, JR Marks, ES Hwang, JY Lo Medical Imaging 2020: Computer-Aided Diagnosis 11314, 1131403, 2020 | 2 | 2020 |
| Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features R Hou, B Shi, LJ Grimm, MA Mazurowski, JR Marks, LM King, CC Maley, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 172-179, 2018 | 2 | 2018 |
Joseph Y. LoProfessor of Radiology, Biomed. Engineering, Elec. Engineering, Med PhysicsE-mailová adresa ověřena na: duke.edu
