| Make-a-video: Text-to-video generation without text-video data U Singer, A Polyak, T Hayes, X Yin, J An, S Zhang, Q Hu, H Yang, ... arXiv preprint arXiv:2209.14792, 2022 | 642 | 2022 |
| A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI Q Hu, HM Whitney, ML Giger Scientific reports 10 (1), 10536, 2020 | 165 | 2020 |
| A review of explainable and interpretable AI with applications in COVID‐19 imaging JD Fuhrman, N Gorre, Q Hu, H Li, I El Naqa, ML Giger Medical Physics 49 (1), 1-14, 2022 | 84 | 2022 |
| Improved classification of benign and malignant breast lesions using deep feature maximum intensity projection MRI in breast cancer diagnosis using dynamic contrast-enhanced MRI Q Hu, HM Whitney, H Li, Y Ji, P Liu, ML Giger Radiology: Artificial Intelligence 3 (3), e200159, 2021 | 40 | 2021 |
| Lessons learned in transitioning to AI in the medical imaging of COVID-19 I El Naqa, H Li, J Fuhrman, Q Hu, N Gorre, W Chen, ML Giger Journal of Medical Imaging 8 (S1), 010902-010902, 2021 | 29 | 2021 |
| Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging Q Hu, HM Whitney, ML Giger Journal of medical imaging 7 (4), 044502-044502, 2020 | 28 | 2020 |
| Mugen: A playground for video-audio-text multimodal understanding and generation T Hayes, S Zhang, X Yin, G Pang, S Sheng, H Yang, S Ge, Q Hu, D Parikh European Conference on Computer Vision, 431-449, 2022 | 22 | 2022 |
| Clinical artificial intelligence applications: breast imaging Q Hu, ML Giger Radiologic Clinics 59 (6), 1027-1043, 2021 | 18 | 2021 |
| Deep-learning-based model observer for a lung nodule detection task in computed tomography H Gong, Q Hu, A Walther, CW Koo, EA Takahashi, DL Levin, TF Johnson, ... Journal of Medical Imaging 7 (4), 042807-042807, 2020 | 15 | 2020 |
| Make-a-video: Text-to-video generation without text-video data. arXiv 2022 U Singer, A Polyak, T Hayes, X Yin, J An, S Zhang, Q Hu, H Yang, ... arXiv preprint arXiv:2209.14792, 2022 | 13 | 2022 |
| Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning Q Hu, K Drukker, ML Giger Medical Imaging 2021: Computer-Aided Diagnosis 11597, 1159704, 2021 | 12 | 2021 |
| Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19 Q Hu, K Drukker, ML Giger Journal of Medical Imaging 8 (S1), 014503-014503, 2021 | 12 | 2021 |
| Make-A-Video: Text-to-Video Generation without Text-Video Data.(2022) U Singer, A Polyak, T Hayes, X Yin, J An, S Zhang, Q Hu, H Yang, ... URL https://arxiv. org/abs/2209.14792, 2022 | 10 | 2022 |
| Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI R Bhattacharjee, L Douglas, K Drukker, Q Hu, J Fuhrman, D Sheth, ... Medical Imaging 2021: Computer-Aided Diagnosis 11597, 81-87, 2021 | 10 | 2021 |
| Make-a-video: Text-to-video generation without text-video data A Polyak, T Hayes, X Yin, J An, S Zhang, Q Hu, H Yang, O Ashual, O Gafni, ... arXiv preprint arXiv 2209 (2), 3, 2022 | 9 | 2022 |
| Transfer learning in 4D for breast cancer diagnosis using dynamic contrast-enhanced magnetic resonance imaging Q Hu, HM Whitney, ML Giger arXiv preprint arXiv:1911.03022, 2019 | 9 | 2019 |
| A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT L Yu, Q Hu, CW Koo, EA Takahashi, DL Levin, TF Johnson, MJ Hora, ... Medical Imaging 2017: Physics of Medical Imaging 10132, 427-432, 2017 | 8 | 2017 |
| Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer Q Hu, HM Whitney, A Edwards, J Papaioannou, ML Giger Medical Imaging 2019: Computer-Aided Diagnosis 10950, 1076-1082, 2019 | 7 | 2019 |
| Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT H Gong, A Walther, Q Hu, CW Koo, EA Takahashi, DL Levin, TF Johnson, ... Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019 | 6 | 2019 |
| Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI Q Hu, HM Whitney, ML Giger Medical Imaging 2020: Computer-Aided Diagnosis 11314, 246-252, 2020 | 2 | 2020 |
