Penn Medicine Provider
About me
- Assistant Professor of Radiology
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.
Dr. Han is a Penn Medicine physician.
Qualifications and experience
- International Society for Magnetic Resonance in medicine (ISMRM), International
- Medical Image Computing and Computer Assisted Intervention (MICCAI), International
Treatments and conditions
Research
Publications
Okolie A, Dirrichs T, Huck LC, Nebelung S, Arasteh ST, Nolte T, Han T, Kuhl CK, Truhn D Accelerating breast MRI acquisition with generative AI models , Eur Radiol, 35(2): 2025,1092-1100
Han T, Nebelung S, Khader F, Wang T, Müller-Franzes G, Kuhl C, Försch S, Kleesiek J, Haarburger C, Bressem KK, Kather JN, Truhn D Medical large language models are susceptible to targeted misinformation attacks , NPJ Digit Med, 7(1): 2024,288
Han T, Žigutytė L, Huck L, Huppertz MS, Siepmann R, Gandelsman Y, Blüthgen C, Khader F, Kuhl C, Nebelung S, Kather JN, Truhn D Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining , Cell Rep Med, 5(9): 2024,101713
Müller-Franzes G, Khader F, Tayebi Arasteh S, Huck L, Bode M, Han T, Lemainque T, Kather JN, Nebelung S, Kuhl C, Truhn D Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization , Radiology, 312(1): 2024,e232304
Busch F, Han T, Makowski MR, Truhn D, Bressem KK, Adams L. Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties , J Med Internet Res, 26: 2024,e54948
Han T, Adams LC, Bressem KK, Busch F, Nebelung S, Truhn D Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions , JAMA, 331(15): 2024,1320-1321
Tayebi Arasteh S, Han T, Lotfinia M, Kuhl C, Kather JN, Truhn D, Nebelung S Large language models streamline automated machine learning for clinical studies , Nat Commun, 15(1): 2024,1603
Truhn D, Tayebi Arasteh S, Saldanha OL, Müller-Franzes G, Khader F, Quirke P, West NP, Gray R, Hutchins GGA, James JA, Loughrey MB, Salto-Tellez M, Brenner H, Brobeil A, Yuan T, Chang-Claude J, Hoffmeister M, Foersch S, Han T, Keil S, Schulze-Hagen M, Isfort P, Bruners P, Kaissis G, Kuhl C, Nebelung S, Kather JN Encrypted federated learning for secure decentralized collaboration in cancer image analysis , Med Image Anal, 92: 2024,103059
Khader F, Müller-Franzes G, Wang T, Han T, Tayebi Arasteh S, Haarburger C, Stegmaier J, Bressem K, Kuhl C, Nebelung S, Kather JN, Truhn D Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers , Radiology, 309(1): 2023,e230806
Khader F, Kather JN, Müller-Franzes G, Wang T, Han T, Tayebi Arasteh S, Hamesch K, Bressem K, Haarburger C, Stegmaier J, Kuhl C, Nebelung S, Truhn D Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data , Sci Rep, 13(1): 2023,10666