Drew A. Torigian, MD
Radiology
Headshot of Drew A. Torigian, MD

Drew A. Torigian, MD

Radiology
Accepting new patients
Sees patients age 18 and up
Headshot of Drew A. Torigian, MD
Penn Medicine Provider

About me

  • Clinical Director, Medical Imaging Processing Group (MIPG)
  • Professor of Radiology at the Hospital of the University of Pennsylvania

My education and training

  • New York University School of MedicineMedical School
  • New York University School of MedicineResidency
  • University of Pennsylvania Health SystemResidency
  • University of Pennsylvania Health SystemFellowship

Spoken languages

English
English

Insurance accepted

Please contact the practice and/or the member services department of your insurance company for specific details before receiving services. Providers may participate in some, but not all, products offered by a health plan; providers may also accept plans at some practice locations but not others.

Penn Medicine 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 Medicine Rittenhouse Long-Term Acute Care Hospital
  • Penn Presbyterian Medical Center: Has privileges to treat patients in the hospital.
  • Pennsylvania Hospital: Has privileges to treat patients in the hospital.
Dr. Torigian is a Penn Medicine physician.

Qualifications and experience

Treatments and conditions

Research

Publications

Hao Y, Tong Y, Wu C, McDonough JM, Gogel S, Biko DM, Cahill PJ, Anari JB, Torigian DA, Udupa JK. Estimating pediatric lung volumetric parameters via rapid, limited-slice, free-breathing thoracic dynamic MRI. , Med Phys, 53: 2026,e70628


Tong Y, Xie L, Fernandez RU, Liu T, Broach RB, Torigian DA, Fischer JP, Udupa JK. Combining optimal biomarkers and deep learning for multimodal presurgical prediction of incisional hernia. , Proc SPIE 13927, Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling, 1392712 (1 Apr 2026); https://doi.org/10.1117/12.3086832, 13927(1392712): 2026


Shahidzadeh A, Shahidzadeh A, Biko DM, Gogel S, Mayer OH, Cahill PJ, Anari JB, Torigian DA, Tong Y, Udupa JK. Breathing pattern integration in 4D-MRI analysis: a technical framework for pediatric thoracic insufficiency syndrome assessment. , Proc SPIE 13929, Medical Imaging 2026: Clinical and Biomedical Imaging, 139292M (1 Apr 2026); https://doi.org/10.1117/12.3087704, 13929(139292M): 2026


Shahidzadeh A, Shahidzadeh A, Biko DM, Gogel S, Mayer OH, Cahill PJ, Anari JB, Torigian DA, Tong Y, Udupa JK. Coupling maps for visualizing chest wall-diaphragm coordination in pediatric thoracic insufficiency syndrome from 4D dynamic MRI. , Proc SPIE 13930, Medical Imaging 2026: Imaging Informatics, 139301K (2 Apr 2026); https://doi.org/10.1117/12.3087708, 13930(139301K): 2026


Wang X, Liu T, Dai J, Chong E, Schuster SJ, Torigian DA, Tong Y, Udupa JK, Hall D. 12-month disease-free survival prediction in diffuse large B-cell lymphoma: a multimodal transfer learning innovation. , Proc SPIE 13925, Medical Imaging 2026: Image Processing, 1392505 (3 Apr 2026); https://doi.org/10.1117/12.3086292, 13925(1392505): 2026


Chenxi J, Chen EY, Tong Y, Xu W, Gan E, Torigian DA, Udupa JK, Rajapakse C. Anatomy orientation‑guided auto‑segmentation of bones from hip 3T magnetic resonance imaging. , Proc SPIE 13926, Medical Imaging 2026: Computer-Aided Diagnosis, 139262C (2 Apr 2026); https://doi.org/10.1117/12.3086302, 13926(139262C): 2026


Xie L, Grevera GJ, Tong Y, Wu C, Liu Z, Torigian DA, Udupa JK. CAVASS-DL: an enhanced computer-assisted visualization and analysis software system by integrating deep-learning segmentation models. , Proc SPIE 13927, Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling, 139272D (1 Apr 2026); https://doi.org/10.1117/12.3087224, 13927(139272D): 2026


Hall D, Udupa JK, Nln Y, Tong Y, Wu C, Torigian DA. Hybrid‑intelligence framework for pathological liver segmentation and disease localization in CT imaging. , Proc SPIE 13926, Medical Imaging 2026: Computer-Aided Diagnosis, 139262J (2 Apr 2026); https://doi.org/10.1117/12.3087377, 13926(139262J): 2026


Xie L, Tong Y, Wu C, Torigian DA, Udupa JK, Wan Y. Tumor-SAM: segment anything model for semi-automatic lung tumor segmentation in CT. , Proc SPIE 13929, Medical Imaging 2026: Clinical and Biomedical Imaging, 139290H (1 Apr 2026); https://doi.org/10.1117/12.3087226, 13929(139290H): 2026


207. Wei S, Deng Y, Lee J, Lan H, Yang Z, Labrie M, Betts CB, Duan H, Tate B, Pucilowska J, Frederick D, Lawless AR, Sharova T, Yang Y, Hu W, Beasley GM, Schuchter LM, Wang X, Xu W, Yong G, Vandenberg MEG, Torigian DA, Sivagnanam S, Du K, Sugarman E, McGettigan S, Zheng C, Al-Rohil RN, Selim MA, Datto MB, López GY, Nair SK, Ashley DM, Xu X, Amaravadi RK, Karakousis GC, O'Rourke DM, Brem S, O'Malley BW, Demirkan G, Yu S, Lu Y, Camp T, Patterson JA, Wei Z, Corless C, Gabrilovich DI, Mou Y, Flaherty KT, Coussens LM, Boland G, Herlyn M, Mills G, Liu L, Zhang G. A longitudinal, multi-omic atlas reveals the emergence of a spatially organized immunosuppressive ecosystem in resistant melanoma. , Cell Rep Med, 7(4): 2026,102716