Thomas Yu
Orcid: 0000-0002-5841-0198
According to our database1,
Thomas Yu
authored at least 26 papers
between 1996 and 2023.
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Bibliography
2023
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine.
J. Am. Medical Informatics Assoc., December, 2023
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
2022
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
NeuroImage, 2022
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models.
CoRR, 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI.
CoRR, 2022
Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022
2021
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
NeuroImage, 2021
Revisiting the T<sub>2</sub> spectrum imaging inverse problem: Bayesian regularized non-negative least squares.
NeuroImage, 2021
Medical Image Anal., 2021
Comparison of non-parametric T<sub>2</sub> relaxometry methods for myelin water quantification.
Medical Image Anal., 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients.
Comput. Biol. Medicine, 2021
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction.
J. Am. Medical Informatics Assoc., 2020
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.
CoRR, 2020
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler.
Proceedings of the Information Processing in Medical Imaging, 2019
2017
1996
J. Intell. Manuf., 1996