T. Han

发表

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Kather, 2022, ArXiv.

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

Jakob Nikolas Kather, J. Kather, P. Bruners, 2022, Radiology.

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation

Jakob Nikolas Kather, J. Kather, V. Schulz, 2022, Nature Machine Intelligence.

Adversarial attacks and adversarial robustness in computational pathology

Jakob Nikolas Kather, P. Boor, R. Langer, 2022, bioRxiv.

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Niehues, 2022, Scientific reports.

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Jakob Nikolas Kather, J. Chang-Claude, M. Hoffmeister, 2022, medRxiv.

Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Engelhardt, 2022, 2211.03364.

Image prediction of disease progression by style-based manifold extrapolation

Jakob Nikolas Kather, V. Schulz, F. Kiessling, 2021, 2111.11439.

Breaking medical data sharing boundaries by using synthesized radiographs

Volkmar Schulz, Dorit Merhof, Fabian Kiessling, 2020, Science Advances.

Breaking Medical Data Sharing Boundaries by Employing Artificial Radiographs

Dorit Merhof, Fabian Kiessling, Nicolas Horst, 2019, bioRxiv.

NTScatNet: An interpretable convolutional neural network for domain generalization diagnosis across different transmission paths

Chengjin Qin, Xiaolong Ma, T. Han, 2022, Measurement.

MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data

D. Truhn, Alexander Löser, K. Bressem, 2023, ArXiv.

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, ArXiv.

Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, MLMI@MICCAI.

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization pdf

Markus Zimmermann, Fabian Kiessling, Christoph Haarburger, 2020, Nature Communications.

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning pdf

Volkmar Schulz, Fabian Kiessling, Christoph Haarburger, 2021, ArXiv.

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Scientific reports.

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images.

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Radiology.

Denoising diffusion probabilistic models for 3D medical image generation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Engelhardt, 2023, Scientific reports.

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Niehues, 2023, Scientific reports.

Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, ArXiv.

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs

S. Nebelung, D. Truhn, J. Stegmaier, 2023, ArXiv.

MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data

D. Truhn, Alexander Löser, K. Bressem, 2023, ArXiv.

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, ArXiv.

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Radiology.

Large language models streamline automated machine learning for clinical studies

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, Nature communications.

HuatuoGPT, Towards Taming Language Models To Be a Doctor

Collin Burns, Azalia Mirhoseini, Anna Goldie, 2022 .

Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization.

Firas Khader, M. Bode, T. Han, 2024, Radiology.