Projects per year
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Dive into the research topics where Diagnostic Radiology is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Hassan Albadawi, MD
- Phoenix/Scottsdale, AZ, Diagnostic Radiology - Assistant Professor
Person: Faculty
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Imon Banerjee, Ph.D.
- Phoenix/Scottsdale, AZ, Diagnostic Radiology - Assistant Professor, Associate Professor
Person: Faculty
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Multimodal AI Fusion Model for Early Detection for Pancreatic Cancer
Banerjee, I. (PI), Bhavik, P. (CoPI) & Peng, Y. Y. (CoPI)
9/16/24 → 8/31/26
Project: Research project
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Novel Incidental Calcium Evaluation (NICE)
Rodriguez, F. (PI), Chaudhari, A. S. (CoPI), Bhavik, P. (CoPI) & Banerjee, I. (CoPI)
National Heart, Lung, and Blood Institute
7/1/24 → 4/30/26
Project: Research project
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Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep Learning
Chaudhari, A. S. (PI), Bhavik, P. (CoPI), Rodriguez, F. (CoPI) & Banerjee, I. (CoPI)
National Heart, Lung, and Blood Institute
9/1/23 → 5/31/26
Project: Research project
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Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification
Ma, D. A., Pang, J., Zhou, Z., Gotway, M. B. & Liang, J., 2026, Foundation Models for General Medical AI - 3rd International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Jeong, W.-K., Kim, H. J., Deng, Z., Shen, Y., Aviles-Rivero, A. I. & Zhang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 159-170 12 p. (Lecture Notes in Computer Science; vol. 16112 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse Events with Causal Reasoning and De-confounding
Pi, J., Farina, J. M., Lahiri, R., Jeong, J., Gurudu, A., Park, H. B., Chao, C. J., Ayoub, C., Arsanjani, R. & Banerjee, I., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 331-341 11 p. (Lecture Notes in Computer Science; vol. 15967 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Three stylized light bulb illustrations are arranged in a row. The central bulb is yellow, while the two outer bulbs are dark blue. Each bulb is surrounded by small lines, suggesting illumination. The design is simple and uses a minimal color palette. Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs
Zhou, Z., Luo, H., Taher, M. R. H., Pang, J., Ding, X., Gotway, M. B. & Liang, J., 2026, Foundation Models for General Medical AI - 3rd International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Jeong, W.-K., Kim, H. J., Deng, Z., Shen, Y., Aviles-Rivero, A. I. & Zhang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-11 11 p. (Lecture Notes in Computer Science; vol. 16112 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution