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Tianyu Han, PhD
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Assistant Professor of Radiology
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Department: Radiology
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Contact information
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Center for Biomedical Image Computing & Analytics
1a 3700 Hamilton Walk
3f Richards Building, 7th Floor
Philadelphia, PA 19104
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1a 3700 Hamilton Walk
3f Richards Building, 7th Floor
Philadelphia, PA 19104
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Education:
21 a B.Sc. 14 (Physics) c
2a Nankai University, 2014.
21 a M.Sc. 14 (Physics) c
5f Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, 2018.
21 8 PhD 14 (Physics) c
5f Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, 2023.
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Permanent link21 a B.Sc. 14 (Physics) c
2a Nankai University, 2014.
21 a M.Sc. 14 (Physics) c
5f Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, 2018.
21 8 PhD 14 (Physics) c
5f Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, 2023.
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169 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): 288, Oct 2024 Notes: doi: 10.1038/s41746-024-01282-7.
1a1 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): 101713, Sep 2024 Notes: doi: 10.1016/j.xcrm.2024.101713. Epub 2024 Sep 5.
182 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): e232304, Jul 2024 Notes: doi: 10.1148/radiol.232304.
149 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: e54948, May 2024 Notes: DOI: 10.2196/64411.
12e 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): 1320-1321, Apr 2024 Notes: DOI: 10.1001/jama.2023.27861.
130 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): 1603, Feb 2024 Notes: DOI: 10.1038/s41467-024-45879-8.
240 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: 103059, Feb 2024 Notes: doi: 10.1016/j.media.2023.103059. Epub 2023 Dec 7.
187 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): e230806, Oct 2023 Notes: doi: 10.1148/radiol.23080.
19d 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): 10666, Jul 2023 Notes: doi: 10.1038/s41598-023-37835-1.
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Selected Publications
13f 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): 1092-1100, Feb 2025 Notes: doi: 10.1007/s00330-024-10853-x. Epub 2024 Aug 1.169 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): 288, Oct 2024 Notes: doi: 10.1038/s41746-024-01282-7.
1a1 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): 101713, Sep 2024 Notes: doi: 10.1016/j.xcrm.2024.101713. Epub 2024 Sep 5.
182 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): e232304, Jul 2024 Notes: doi: 10.1148/radiol.232304.
149 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: e54948, May 2024 Notes: DOI: 10.2196/64411.
12e 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): 1320-1321, Apr 2024 Notes: DOI: 10.1001/jama.2023.27861.
130 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): 1603, Feb 2024 Notes: DOI: 10.1038/s41467-024-45879-8.
240 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: 103059, Feb 2024 Notes: doi: 10.1016/j.media.2023.103059. Epub 2023 Dec 7.
187 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): e230806, Oct 2023 Notes: doi: 10.1148/radiol.23080.
19d 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): 10666, Jul 2023 Notes: doi: 10.1038/s41598-023-37835-1.
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