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Tianyu Han
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2020 – today
- 2024
- [b1]Tianyu Han:
Generative modeling for medical image analysis. RWTH Aachen University, Germany, 2024 - [j11]Chao Liu, Tianyu Han, Gang Zhang, Haoran Sun, Xi Shi:
Scattering moment matching-based interpretable domain adaptation for transfer diagnostic tasks. Neurocomputing 594: 127699 (2024) - [j10]Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather:
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92: 103059 (2024) - [j9]Tianyu Han, Ruijie Zhang, Jiangming Kan, Ruifang Dong, Xixuan Zhao, Shun Yao:
A Point Cloud Registration Framework with Color Information Integration. Remote. Sens. 16(5): 743 (2024) - [j8]Dongsheng Han, Tianyu Han, Yishuo Zhao, Ran Li:
UAV-Aided Information Collection Method Based on Joint Optimization of Node Access and Flight Strategy. IEEE Trans. Veh. Technol. 73(3): 4095-4106 (2024) - [c10]Tianyu Han, Sven Nebelung, Firas Khader, Jakob Nikolas Kather, Daniel Truhn:
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction. MICCAI (7) 2024: 509-517 - [i18]Lisa Adams, Felix Busch, Tianyu Han, Jean-Baptiste Excoffier, Matthieu Ortala, Alexander Löser, Hugo J. W. L. Aerts, Jakob Nikolas Kather, Daniel Truhn, Keno K. Bressem:
LongHealth: A Question Answering Benchmark with Long Clinical Documents. CoRR abs/2401.14490 (2024) - [i17]Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Müller-Franzes, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization. CoRR abs/2406.01314 (2024) - [i16]Tianyu Han, Sven Nebelung, Firas Khader, Jakob Nikolas Kather, Daniel Truhn:
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction. CoRR abs/2406.16983 (2024) - [i15]Tianyu Han, Bo Wang:
Safety-Critical Stabilization of Force-Controlled Nonholonomic Robots. CoRR abs/2408.10941 (2024) - [i14]Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem:
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data. CoRR abs/2408.13833 (2024) - 2023
- [j7]Dongsheng Han, Tianhao Shi, Tianyu Han, Zhenyu Zhou:
Joint Optimization of Trajectory and Node Access in UAV-Aided Data Collection System. IEEE Syst. J. 17(2): 2574-2585 (2023) - [c9]Chao Liu, Tianyu Han, Xi Shi:
Wavelet Scattering Cyclostationarity Representation for Machine Intelligent Fault Diagnosis. ICMRE 2023: 251-256 - [c8]Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Jakob Nikolas Kather, Johannes Stegmaier, Sven Nebelung, Daniel Truhn:
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. ISBI 2023: 1-5 - [c7]Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs. SASHIMI@MICCAI 2023: 1-10 - [c6]Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. MLMI@MICCAI (2) 2023: 417-426 - [i13]Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, Keno K. Bressem:
MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data. CoRR abs/2304.08247 (2023) - [i12]Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. CoRR abs/2305.06963 (2023) - [i11]Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs. CoRR abs/2305.06965 (2023) - [i10]Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung:
Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies. CoRR abs/2308.14120 (2023) - [i9]Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn:
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. CoRR abs/2309.17007 (2023) - [i8]Tianyu Han, Laura Zigutyte, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman, Christian Blüthgen, Firas Khader, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. CoRR abs/2309.17123 (2023) - [i7]Felix Busch, Tianyu Han, Marcus R. Makowski, Daniel Truhn, Keno K. Bressem, Lisa Adams:
From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties. CoRR abs/2311.14777 (2023) - 2022
- [j6]Tianyu Han, Lifeng Zhang, Shixiang Jia:
Bin similarity-based domain adaptation for fine-grained image classification. Int. J. Intell. Syst. 37(3): 2319-2334 (2022) - [j5]Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Sven Nebelung, Daniel Truhn:
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nat. Mac. Intell. 4(11): 1029-1039 (2022) - [c5]Chuqin Geng, Haolin Ye, Yixuan Li, Tianyu Han, Brigitte Pientka, Xujie Si:
Novice Type Error Diagnosis with Natural Language Models. APLAS 2022: 196-214 - [i6]Chuqin Geng, Haolin Ye, Yixuan Li, Tianyu Han, Brigitte Pientka, Xujie Si:
Novice Type Error Diagnosis with Natural Language Models. CoRR abs/2210.03682 (2022) - [i5]Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baeßler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR abs/2211.03364 (2022) - [i4]Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Diffusion Probabilistic Models beat GANs on Medical Images. CoRR abs/2212.07501 (2022) - [i3]Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno K. Bressem, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR abs/2212.09162 (2022) - 2021
- [c4]Qing Zhao, Tingrui Li, Rui Luo, Rui Li, Tianyu Han, Dongsheng Han:
A Language Model for Intelligent Speech Recognition of Power Dispatching. ACM TUR-C 2021: 131-135 - [c3]Tianyu Han, Xi Shi, Gang Zhang, Chao Liu:
Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries. ICPHM 2021: 1-7 - [i2]Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn:
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR abs/2111.11439 (2021) - 2020
- [j4]Yang Liu, Bin Xie, Tianyu Han, Juan Tian:
Modeling Identifiable Data in Industrial Internet. IEEE Access 8: 29140-29148 (2020) - [j3]Tao Sun, Yuanlong Chen, Tianyu Han, Chenlei Jiao, Binbin Lian, Yimin Song:
A soft gripper with variable stiffness inspired by pangolin scales, toothed pneumatic actuator and autonomous controller. Robotics Comput. Integr. Manuf. 61: 101848 (2020) - [j2]Tao Yan, Yaguo Lei, Biao Wang, Tianyu Han, Xiaosheng Si, Naipeng Li:
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions. Reliab. Eng. Syst. Saf. 202: 106994 (2020) - [i1]Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn:
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. CoRR abs/2011.13011 (2020)
2010 – 2019
- 2019
- [j1]Naipeng Li, Yaguo Lei, Tao Yan, Ningbo Li, Tianyu Han:
A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability. IEEE Trans. Ind. Electron. 66(3): 2092-2101 (2019) - 2015
- [c2]Tianyu Han, Yao Han:
Monoplistic efficiency: A performance analysis on the market structure of the e-commerce industry. BESC 2015: 180-183 - 2012
- [c1]Weizhe Zhang, Tianyu Han, Yuanjing Zhang, Albert M. K. Cheng:
Performance Prediction for MPI Parallel Jobs. CLUSTER Workshops 2012: 136-142
Coauthor Index
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last updated on 2024-10-11 17:31 CEST by the dblp team
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