| Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions A Haque, M Tancik, AA Efros, A Holynski, A Kanazawa arXiv preprint arXiv:2303.12789, 2023 | 161 | 2023 |
| Deep learning for suicide and depression identification with unsupervised label correction A Haque, V Reddi, T Giallanza Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 41 | 2021 |
| EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs A Haque Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15797 …, 2021 | 37 | 2021 |
| Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images A Haque, AAZ Imran, A Wang, D Terzopoulos 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 693-696, 2021 | 9 | 2021 |
| Generalized Multi-Task Learning From Substantially Unlabeled Multi-Source Medical Image Data A Haque, AAZ Imran, A Wang, D Terzopoulos arXiv preprint arXiv:2110.13185, 2021 | 7 | 2021 |
| Noise2Quality: Non-Reference, Pixel-Wise Assessment of Low Dose CT Image Quality A Haque, AS Wang, AAZ Imran Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 3 | 2022 |
| Window-Level is a Strong Denoising Surrogate A Haque, A Wang, AAZ Imran arXiv preprint arXiv:2105.07153, 2021 | 3 | 2021 |
| Task-specific self-supervision for CT image denoising A Haque, A Wang, A Al Zubaer Imran Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2023 | | 2023 |
| Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation A Haque, H Moon, H Hao, S Didari, JO Woo, P Bangert Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | | 2022 |
Adam WangAssistant Professor of Radiology and (by courtesy) Electrical Engineering, Stanford UniversityVerified email at stanford.edu
