Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT. - Synho Do; Sanghee Cho; W. Clem Karl; Mannudeep K. Kalra; Thomas J. Brady; Homer H. Pien (ISBI, 2009)

Use of Radcube for Extraction of Finding Trends in a Large Radiology Practice. - Pragya A. Dang; Mannudeep K. Kalra; Michael A. Blake; Thomas J. Schultz; Markus Stout; Elkan F. Halpern; Keith J. Dreyer (J. Digit. Imaging, 2009)

A variational approach for reconstructing low dose images in clinical helical CT. - Synho Do; W. Clem Karl; Mannudeep K. Kalra; Thomas J. Brady; Homer H. Pien (ISBI, 2010)

Automated Quantification of Pneumothorax in CT. - Synho Do; Kristen Salvaggio; Supriya Gupta; Mannudeep K. Kalra; Nabeel U. Ali; Homer H. Pien (Comput. Math. Methods Medicine, 2012)

Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection. - Ruben De Man; Ge Wang 001; Mannudeep K. Kalra; Alexi Otrakji; Scott S. Hsieh; Norbert J. Pelc (IEEE Access, 2016)

Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans. - Lars Gjesteby; Yan Xi; Mannudeep K. Kalra; Qingsong Yang; Ge Wang 001 (IEEE Access, 2017)

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN). - Hu Chen 002; Yi Zhang 018; Mannudeep K. Kalra; Feng Lin 010; Peixi Liao; Jiliu Zhou; Ge Wang 001 (CoRR, 2017)

CT Image Denoising with Perceptive Deep Neural Networks. - Qingsong Yang; Pingkun Yan; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2017)

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss. - Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2017)

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network. - Hu Chen 002; Yi Zhang 018; Mannudeep K. Kalra; Feng Lin 010; Yang Chen 008; Peixi Liao; Jiliu Zhou; Ge Wang 001 (IEEE Trans. Medical Imaging, 2017)

Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction. - Lin Fu; Tzu-Cheng Lee; Soo Mee Kim; Adam M. Alessio; Paul E. Kinahan; Zhiqian Chang; Ken D. Sauer; Mannudeep K. Kalra; Bruno De Man (IEEE Trans. Medical Imaging, 2017)

Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images. - Pingkun Yan; Hengtao Guo; Ge Wang 001; Ruben De Man; Mannudeep K. Kalra (CoRR, 2018)

Soft Activation Mapping of Lung Nodules in Low-Dose CT images. - Yiming Lei; Yukun Tian; Hongming Shan; Junping Zhang; Ge Wang 001; Mannudeep K. Kalra (CoRR, 2018)

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? - Hongming Shan; Atul Padole; Fatemeh Homayounieh; Uwe Krüger 001; Ruhani Doda Khera; Chayanin Nitiwarangkul; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2018)

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. - Hongming Shan; Yi Zhang 018; Qingsong Yang; Uwe Kruger 001; Mannudeep K. Kalra; Ling Sun 006; Wenxiang Cong; Ge Wang 001 (IEEE Trans. Medical Imaging, 2018)

Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". - Hongming Shan; Yi Zhang 018; Qingsong Yang; Uwe Kruger 001; Mannudeep K. Kalra; Ling Sun 006; Wenxiang Cong; Ge Wang 001 (IEEE Trans. Medical Imaging, 2018)

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss. - Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K. Kalra; Yi Zhang 018; Ling Sun 006; Ge Wang 001 (IEEE Trans. Medical Imaging, 2018)

Generative Low-Dose CT Image Denoising. - Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K. Kalra; Yi Zhang 018; Ling Sun 006; Ge Wang 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Hybrid Neural Networks for Mortality Prediction from LDCT Images. - Pingkun Yan; Hengtao Guo; Ge Wang 001; Ruben De Man; Mannudeep K. Kalra (EMBC, 2019)

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. - Florin C. Ghesu; Bogdan Georgescu; Eli Gibson; Sebastian Gündel; Mannudeep K. Kalra; Ramandeep Singh; Subba R. Digumarthy; Sasa Grbic; Dorin Comaniciu (MICCAI (6), 2019)

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. - Hongming Shan; Atul Padole; Fatemeh Homayounieh; Uwe Kruger 001; Ruhani Doda Khera; Chayanin Nitiwarangkul; Mannudeep K. Kalra; Ge Wang 001 (Nat. Mach. Intell., 2019)

Multi-task learning for mortality prediction in LDCT images. - Hengtao Guo; Melanie Krüger; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (Computer-Aided Diagnosis, 2020)

Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT. - Fatemeh Homayounieh; Sanjay Saini; Leila Mostafavi; Ruhani Doda Khera; Michael Sühling; Bernhard Schmidt; Ramandeep Singh; Thomas Flohr 001; Mannudeep K. Kalra (Int. J. Comput. Assist. Radiol. Surg., 2020)

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image. - Tahereh Javaheri; Morteza Homayounfar; Zohreh Amoozgar; Reza Reiazi; Fatemeh Homayounieh; Engy Abbas; Azadeh Laali; Amir Reza Radmard; Mohammad Hadi Gharib; Seyed Ali Javad Mousavi; Omid Ghaemi; Rosa Babaei; et al. (CoRR, 2020)

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. - Hanqing Chao; Hongming Shan; Fatemeh Homayounieh; Ramandeep Singh; Ruhani Doda Khera; Hengtao Guo; Timothy Su; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (CoRR, 2020)

Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. - Young-Gon Kim; Kyung Sang Kim; Dufan Wu; Hui Ren 001; Won Young Tak; Soo Young Park; Yu Rim Lee; Min Kyu Kang; Jung Gil Park; Byung Seok Kim; Woo Jin Chung; Mannudeep K. Kalra; et al. (CoRR, 2020)

Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. - Fatemeh Homayounieh; Ramandeep Singh; Tianqi Chen; Ellen J. Sugarman; Thomas J. Schultz; Subba R. Digumarthy; Keith J. Dreyer; Mannudeep K. Kalra (J. Digit. Imaging, 2020)

Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping. - Yiming Lei; Yukun Tian; Hongming Shan; Junping Zhang; Ge Wang 001; Mannudeep K. Kalra (Medical Image Anal., 2020)

Knowledge-Based Analysis for Mortality Prediction From CT Images. - Hengtao Guo; Uwe Kruger 001; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (IEEE J. Biomed. Health Informatics, 2020)

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. - Dufan Wu; Kuang Gong; Chiara Daniela Arru; Fatemeh Homayounieh; Bernardo Bizzo; Varun Buch; Hui Ren 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. - Fenglei Fan; Hongming Shan; Mannudeep K. Kalra; Ramandeep Singh; Guhan Qian; Matthew Getzin; Yueyang Teng; Juergen Hahn; Ge Wang 001 (IEEE Trans. Medical Imaging, 2020)

Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. - Diego Machado Reyes; Hanqing Chao; Fatemeh Homayounieh; Juergen Hahn; Mannudeep K. Kalra; Pingkun Yan (MLMI@MICCAI, 2021)

Association of AI quantified COVID-19 chest CT and patient outcome. - Xi Fang 002; Uwe Kruger 001; Fatemeh Homayounieh; Hanqing Chao; Jiajin Zhang; Subba R. Digumarthy; Chiara Daniela Arru; Mannudeep K. Kalra; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2021)

AI-Enabled Ultra-Low-Dose CT Reconstruction. - Weiwen Wu; Chuang Niu; Shadi Ebrahimian; Hengyong Yu; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2021)

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. - Fatemeh Homayounieh; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Shadi Ebrahimian; Ruhani Doda Khera; Bernardo C. Bizzo; Varun Buch; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Matthias Mitschke; Mathis Zimmermann; Felix Durlak; et al. (J. Digit. Imaging, 2021)

Integrative analysis for COVID-19 patient outcome prediction. - Hanqing Chao; Xi Fang 002; Jiajin Zhang; Fatemeh Homayounieh; Chiara Daniela Arru; Subba R. Digumarthy; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Luca Saba; Alessandro Carriero; Zeno Falaschi; et al. (Medical Image Anal., 2021)

Quantifying and leveraging predictive uncertainty for medical image assessment. - Florin C. Ghesu; Bogdan Georgescu; Awais Mansoor; Youngjin Yoo; Eli Gibson; R. S. Vishwanath; Abishek Balachandran; James M. Balter; Yue Cao; Ramandeep Singh; Subba R. Digumarthy; Mannudeep K. Kalra; et al. (Medical Image Anal., 2021)

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. - Aoxiao Zhong; Xiang Li 001; Dufan Wu; Hui Ren 001; Kyung Sang Kim; Young-Gon Kim; Varun Buch; Nir Neumark; Bernardo Bizzo; Won Young Tak; Soo Young Park; Yu Rim Lee; et al. (Medical Image Anal., 2021)

CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. - Tahereh Javaheri; Morteza Homayounfar; Zohreh Amoozgar; Reza Reiazi; Fatemeh Homayounieh; Engy Abbas; Azadeh Laali; Amir Reza Radmard; Mohammad Hadi Gharib; Seyed Ali Javad Mousavi; Omid Ghaemi; Rosa Babaei; et al. (npj Digit. Medicine, 2021)

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. - Ti Bai; Biling Wang; Dan Nguyen; Bao Wang 001; Bin Dong 001; Wenxiang Cong; Mannudeep K. Kalra; Steve B. Jiang (IEEE Trans. Medical Imaging, 2021)

Overlooked Trustworthiness of Saliency Maps. - Jiajin Zhang; Hanqing Chao; Giridhar Dasegowda; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (MICCAI (3), 2022)

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. - Suchismita Das; Gopal Krishna Nayak; Luca Saba; Mannudeep K. Kalra; Jasjit S. Suri; Sanjay Saxena (Comput. Biol. Medicine, 2022)

Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment. - Pankaj Kumar Jain; Neeraj Sharma; Mannudeep K. Kalra; Amer M. Johri; Luca Saba; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

X-ray Dissectography Improves Lung Nodule Detection. - Chuang Niu; Giridhar Dasegowda; Pingkun Yan; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2022)

Fact-Checking of AI-Generated Reports. - Razi Mahmood; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (MLMI@MICCAI (2), 2023)

Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba. - Zefan Yang; Jiajin Zhang; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (MICCAI (5), 2024)

Disease-Informed Adaptation of Vision-Language Models. - Jiajin Zhang; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (MICCAI (11), 2024)

MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment. - Mainak Biswas; Luca Saba; Mannudeep K. Kalra; Rajesh Singh; José Fernandes e Fernandes; Vijay Viswanathan 001; John R. Laird; Laura E. Mantella; Amer M. Johri; Mostafa M. Fouda; Jasjit S. Suri (Comput. Medical Imaging Graph., 2024)

Explaining Chest X-ray Pathology Models using Textual Concepts. - Vijay Sadashivaiah; Mannudeep K. Kalra; Pingkun Yan; James A. Hendler (CoRR, 2024)

Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. - Chuang Niu; Parisa Kaviani; Qing Lyu 003; Mannudeep K. Kalra; Christopher T. Whitlow; Ge Wang 001 (CoRR, 2024)

Scalable Drift Monitoring in Medical Imaging AI. - Jameson Merkow; Felix J. Dorfner; Xiyu Yang; Alexander Ersoy; Giridhar Dasegowda; Mannudeep K. Kalra; Matthew P. Lungren; Christopher P. Bridge; Ivan Tarapov (CoRR, 2024)

Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports. - Razi Mahmood; Ken C. L. Wong; Diego Machado Reyes; Niharika D'Souza; Luyao Shi; Joy T. Wu; Parisa Kaviani; Mannudeep K. Kalra; Ge Wang 001; Pingkun Yan; Pingkun Syeda-Mahmood (CoRR, 2024)

Evaluating Automated Radiology Report Quality Through Fine-Grained Phrasal Grounding of Clinical Findings. - Razi Mahmood; Pingkun Yan; Diego Machado Reyes; Ge Wang 001; Mannudeep K. Kalra; Parisa Kaviani; Joy T. Wu; Tanveer F. Syeda-Mahmood (ISBI, 2025)

Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint. - Sanjay Saxena; Soumyaranjan Panda; Ekta Tiwari; Rajesh Singh; Mostafa M. Fouda; Mannudeep K. Kalra; Ketan Kotecha; Luca Saba; Jasjit S. Suri (Neurocomputing, 2025)

Chest X-ray Foundation Model with Global and Local Representations Integration. - Zefan Yang; Xuanang Xu; Jiajin Zhang; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (CoRR, 2025)

Xray2Xray: World Model from Chest X-rays with Volumetric Context. - Zefan Yang; Xinrui Song; Xuanang Xu; Yongyi Shi; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (CoRR, 2025)

Optimal feature selection for medical image fusion using deep learning with transformer. - Disha Mohini Pathak; Tribhuwan Kumar Tewari; Siddharth Gupta; Mannudeep K. Kalra; Luca Saba; Andrew F. Laine; Jasjit S. Suri (Biomed. Signal Process. Control., 2026)