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Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, +3 more
2citations -
Overcoming data scarcity in biomedical imaging with a foundational multi-task model2024 Nature Computational Science article Computer Science Domain Adaptation and Few-Shot Learning Open access
Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, +2 more
73citations -
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
2citations -
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
0citations -
MedMNIST: 18x Standardized Datasets for 2D and 3D Biomedical Image Classification2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Fan Zhao, Hanspeter Pfister, +1 more
0citations -
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification2023 Scientific Data data-paper Computer Science Advanced Neural Network Applications Open access cited by 1 patent
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
1,037citations -
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
73citations -
[MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 2242024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Medical Image Segmentation Techniques Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Fan Zhao, Hanspeter Pfister, +1 more
2citations -
[MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 2242024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Medical Image Segmentation Techniques Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
1citations -
Unconditional latent diffusion models memorize patient imaging data2025 Nature Biomedical Engineering article Computer Science Generative Adversarial Networks and Image Synthesis
Marvin Seyfarth, Isabelle Ayx, Theano Papavassiliu, Stefan Oswald Schoenberg, Robert Malte Siepmann, Fabian Christopher Laqua, +7 more
17citations -
Biomedical Image Analysis Challenges (BIAS) Reporting Guideline2020 Zenodo (CERN European Organization for Nuclear Research) other Computer Science Medical Image Segmentation Techniques Open access
Lena Maier‐Hein, Annika Reinke, Michal Kozubek, Anne Louise Martel, Tal Arbel, Matthias Eisenmann, +8 more
3citations -
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney2024 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Ekin Yağış, Shahab Aslani, Yashvardhan Jain, Yang Zhou, Shahrokh Rahmani, Joseph Brunet, +7 more
25citations -
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof
3citations -
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification2021 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Ina Laube, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, +3 more
0citations -
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet2020 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Digital Imaging for Blood Diseases cited by 2 patents
Philipp Gräbel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, Peter Boor, +2 more
12citations -
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more
6citations