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Medical School: New York University School of Medicine
Residency: New York University Medical Center
Residency: Hospital of the University of Pennsylvania
Fellowship: Hospital of the University of Pennsylvania

Abramson Cancer Center, University of Pennsylvania, Local American College of Radiology, National American Roentgen Ray Society, National Association of University Radiologists, National ITMAT (Institute for Translational Medicine and Therapeutics), University of Pennsylvania, Local Radiologic Society of North America, National Society for Molecular Imaging, National Society of Abdominal Radiology, National Society of Artificial Intelligence in Medicine and Healthcare, National Society of Computed Body Tomography and Magnetic Resonance, National Society of Nuclear Medicine and Molecular Imaging, National Society of Thoracic Radiology, National The Pennsylvania Radiological Society, Eastern PA Section, Local

Hospital Privileges:

• Chester County Hospital: Has privileges to treat patients in the hospital.
• Hospital of the University of Pennsylvania: Has privileges to treat patients in the hospital.
• Penn Presbyterian Medical Center: Has privileges to treat patients in the hospital.
• Pennsylvania Hospital: Has privileges to treat patients in the hospital.

Description of Research Expertise:

oncologic imaging (lung cancer, melanoma, lymphoma, GI, GU, and gyn cancers)
inflammation imaging
aging imaging
translational research imaging
thoracoabdominopelvic imaging
CT imaging
MR imaging
PET, PET/CT, and PET/MR imaging
functional and molecular imaging
quantitative imaging/image analysis
all types of imaging response assessment on CT, MRI, and PET

Selected Publications:

Liu T, Udupa JK, Miao Q, Tong Y, Torigian DA.: Quantification of body-torso-wide tissue composition on low-dose CT images via Automatic Anatomy Recognition. Med Phys 46 (3): 1272-1285,2019.

Wu X, Udupa JK, Tong Y, Odhner D, Pednekar GV, Simone CB 2nd, McLaughlin D, Apinorasethkul C, Apinorasethkul O, Lukens J, Mihailidis D, Shammo G, James P, Tiwari A, Wojtowicz L, Camaratta J, Torigian DA.: AAR-RT – A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases. Med Image Anal 54 : 45-62,2019.

Jahangiri P, Pournazari K, Torigian DA, Swisher-McClure S, Simone CB II, Alavi A.: A prospective study of the feasibility of FDG-PET/CT imaging to quantify radiation-induced lung inflammation in locally advanced non-small cell lung cancer patients receiving proton or photon radiotherapy. Eur J Nucl Med Mol Imaging 46 (1): 206-216,2019.

Tong Y, Udupa JK, Torigian DA.: Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning. Proc SPIE 10951 : 109512L-1-109512L-7,2019.

Tong Y, Udupa JK, Odhner D, Wu C, Schuster SJ, Torigian DA.: Disease quantification on PET/CT images without explicit object delineation. Med Image Anal 51 : 169-183,2019.

Katz SI, Ramchandani P, Torigian DA, Siegelman ES.: MRI of hydrosalpinx in patients with hysterectomy without salpingo-oophorectomy. Clin Imaging 55 : 95-99,2019.

Sun C, Udupa JK, Tong Y, Wu C, Guo S, Torigian DA, Campbell RM.: A machine learning algorithm for detecting abnormal respiratory cycles in thoracic dynamic MR image acquisitions. Proc SPIE 10948 : 109484E-1-109484E-6,2019.

Sun C, Udupa JK, Tong Y, Wu C, Guo S, McDonough JM, Torigian DA, Campbell RM.: Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction. Proc SPIE 10953 : 109531B-1-109531B-7,2019.

Jin Z, Udupa JK, Torigian DA.: Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. Proc SPIE 10949 : 109493G-1-109493G-8,2019.

Bai P, Udupa JK, Tong Y, Xie S, Torigian DA.: Body region localization in whole-body PET/CT scans using virtual landmarks. Med Phys 46 (3): 1286-1299,2019.

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