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Adam S. Wang
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2020 – today
- 2023
- [j2]Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Task-specific self-supervision for CT image denoising. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2196-2208 (2023) - [d1]Wonkyeong Lee, Fabian Wagner, Andreas Maier, Adam S. Wang, Jongduk Baek, Scott S. Hsieh, Jang-Hwan Choi:
Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023). Zenodo, 2023 - [i6]Attiano Purpura-Pontoniere, Adam S. Wang, Demetri Terzopoulos, Abdullah-Al-Zubaer Imran:
Semi-Supervised Relational Contrastive Learning. CoRR abs/2304.05047 (2023) - [i5]Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang:
Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views. CoRR abs/2312.15354 (2023) - 2022
- [c7]Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Evan Zucker, Adam S. Wang:
Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose. MICCAI (1) 2022: 634-643 - [c6]Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [c5]Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos:
Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images. ISBI 2021: 693-696 - [c4]Abdullah-Al-Zubaer Imran, Debashish Pal, Bhavik N. Patel, Adam S. Wang:
Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction. ISBI 2021: 1962-1965 - [c3]Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Window-Level Is a Strong Denoising Surrogate. MLMI@MICCAI 2021: 457-466 - [c2]Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang:
Personalized CT Organ Dose Estimation from Scout Images. MICCAI (4) 2021: 488-498 - [i4]Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Window-Level is a Strong Denoising Surrogate. CoRR abs/2105.07153 (2021) - [i3]Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos:
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data. CoRR abs/2110.13185 (2021) - 2020
- [i2]Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel:
Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR abs/2003.07977 (2020) - [i1]Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos:
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images. CoRR abs/2010.14731 (2020)
2010 – 2019
- 2013
- [c1]Sebastian Schafer, Adam S. Wang, Yoshito Otake, J. Webster Stayman, Wojciech Zbijewski, Gerhard Kleinszig, Xuewei Xia, Gary L. Gallia, Jeffrey H. Siewerdsen:
Intraoperative imaging for patient safety and QA: detection of intracranial hemorrhage using C-arm cone-beam CT. Medical Imaging: Image-Guided Procedures 2013: 86711X - 2011
- [j1]Adam S. Wang, Norbert J. Pelc:
Sufficient Statistics as a Generalization of Binning in Spectral X-ray Imaging. IEEE Trans. Medical Imaging 30(1): 84-93 (2011)
Coauthor Index
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