Adam S. Wang

According to our database, Adam S. Wang authored at least 14 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Task-specific self-supervision for CT image denoising.

Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran

Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).

Wonkyeong Lee, Fabian Wagner, Andreas Maier, Adam S. Wang, Jongduk Baek, Scott S. Hsieh, Jang-Hwan Choi

Dataset, April, 2023

Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views.

Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang

CoRR, 2023

Semi-Supervised Relational Contrastive Learning.

Attiano Purpura-Pontoniere, Adam S. Wang, Demetri Terzopoulos, Abdullah-Al-Zubaer Imran

CoRR, 2023

2022

Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality.

Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose.

Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Evan Zucker, Adam S. Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data.

Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos

CoRR, 2021

Personalized CT Organ Dose Estimation from Scout Images.

Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Window-Level Is a Strong Denoising Surrogate.

Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction.

Abdullah-Al-Zubaer Imran, Debashish Pal, Bhavik N. Patel, Adam S. Wang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images.

Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Assessing Robustness to Noise: Low-Cost Head CT Triage.

Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel

CoRR, 2020

2013

Intraoperative imaging for patient safety and QA: detection of intracranial hemorrhage using C-arm cone-beam CT.

Sebastian Schafer, Adam S. Wang, Yoshito Otake, J. Webster Stayman, Wojciech Zbijewski, Gerhard Kleinszig, Xuewei Xia, Gary L. Gallia, Jeffrey H. Siewerdsen

Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

2011

Sufficient Statistics as a Generalization of Binning in Spectral X-ray Imaging.

Adam S. Wang, Norbert J. Pelc

IEEE Trans. Medical Imaging, 2011