Sufficient Statistics as a Generalization of Binning in Spectral X-ray Imaging. - Adam S. Wang; Norbert J. Pelc (IEEE Trans. Medical Imaging, 2011)

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 (Image-Guided Procedures, 2013)

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)

Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images. - Ayaan Haque; Abdullah-Al-Zubaer Imran; Adam S. Wang; Demetri Terzopoulos (ISBI, 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 (ISBI, 2021)

Window-Level Is a Strong Denoising Surrogate. - Ayaan Haque; Adam S. Wang; Abdullah-Al-Zubaer Imran (MLMI@MICCAI, 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 (MICCAI (4), 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)

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 (MICCAI (1), 2022)

Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality. - Ayaan Haque; Adam S. Wang; Abdullah-Al-Zubaer Imran (Image Perception, Observer Performance, and Technology Assessment, 2022)

Semi-Supervised Relational Contrastive Learning. - Attiano Purpura-Pontoniere; Adam S. Wang; Demetri Terzopoulos; Abdullah-Al-Zubaer Imran (CoRR, 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)

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023). - Wonkyeong Lee; Fabian Wagner; Andreas Maier 001; Adam S. Wang; Jongduk Baek; Scott S. Hsieh; Jang-Hwan Choi 001 (Zenodo, 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., 2023)

A CMOS-Compatible and Actuatable 3D-Microcage Array with Shape-Memory for On-Chip Dynamic Cell Interfacing. - Zhikai Huang; Fuze Jiang; Hangxing Liu; Ying Kong; Yuguo Sheng; Adam S. Wang; Dongwon Lee 009; Marco Saif; Hua Wang 006 (BioCAS, 2024)

A Subcellular-Resolution Multimodal CMOS Biosensor Array with 16K Ion-Selective Pixels for Real-Time Monitoring Potassium Dynamics. - Hangxing Liu; Fuze Jiang; Ying Kong; Dongwon Lee 009; Yuguo Sheng; Adam S. Wang; Zhikai Huang; Marco Saif; Thomas Burger; Jing Wang 190; Hua Wang 006 (VLSI Technology and Circuits, 2024)

Poisson flow consistency models for low-dose CT image denoising. - Dennis Hein; Adam S. Wang; Ge Wang 001 (CoRR, 2024)

Modeling focused kV X-ray dose kernels via 3D implicit neural functions for small animal brain radiation. - Liyan Sun; Chenhui Qiu; Weiyuan Sun; Lei Xing 001; Dimitre Hristov; Adam S. Wang; Wu Liu (Biomed. Signal Process. Control., 2025)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)

Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging. - Sun-Young Jeon; Sen Wang; Adam S. Wang; Garry E. Gold; Jang Hwan Choi 001 (IEEE Trans. Instrum. Meas., 2025)

Emulating Low-Dose PCCT Image Pairs With Independent Noise for Self-Supervised Spectral Image Denoising. - Sen Wang; Yirong Yang; Grant M. Stevens; Zhye Yin; Adam S. Wang (IEEE Trans. Medical Imaging, 2025)

PFCM: Poisson Flow Consistency Models for Low-Dose CT Image Denoising. - Dennis Hein; Grant M. Stevens; Adam S. Wang; Ge Wang 001 (IEEE Trans. Medical Imaging, 2025)