Matthew J. Muckley

Medicine · Health Sciences

13h-index2.1kcitations49works0.82yr avg
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Research Topics

Medical Imaging Techniques and Applications(22), Advanced MRI Techniques and Applications(20), Advanced X-ray and CT Imaging(9), Radiomics and Machine Learning in Medical Imaging(9), Medical Image Segmentation Techniques(4)

Publications49 total

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
arXiv (Cornell University)·2025Open Access
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
arXiv (Cornell University)·2025Open Access
Architecture Optimizations for Improving Neural Image Compression Compute Complexity
2025
Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression
2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
arXiv (Cornell University)·2025Open Access
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
arXiv (Cornell University)·2025Open Access
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
arXiv (Cornell University)·2024Open Access
Improving variational network based 2D MRI reconstruction via feature-space data consistency
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Understanding and Mitigating Tokenization Bias in Language Models
arXiv (Cornell University)·2024Open Access
Consistency-diversity-realism Pareto fronts of conditional image generative models
arXiv (Cornell University)·2024· 3 citedOpen Access
Accelerated MRI reconstructions via variational network and feature domain learning
Scientific Reports·2024· 5 citedOpen Access
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
arXiv (Cornell University)·2024· 3 citedOpen Access
Residual Quantization with Implicit Neural Codebooks
arXiv (Cornell University)·2024Open Access
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
2024Open Access
Towards image compression with perfect realism at ultra-low bitrates
arXiv (Cornell University)·2023· 8 citedOpen Access
Training-free Linear Image Inverses via Flows
arXiv (Cornell University)·2023Open Access
Properties of 2D MR image reconstructions with deep neural networks at high acceleration rates
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
arXiv (Cornell University)·2023· 7 citedOpen Access
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI
Radiology·2023· 106 citedOpen Access
Latent Discretization for Continuous-time Sequence Compression
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Florian Knöll(14), Anuroop Sriram(11), Daniel K. Sodickson(11), Karen Ullrich(9), Nafissa Yakubova(8), Yvonne W. Lui(8), Jakob Verbeek(7), Michal Drozdzal(6), Patricia M. Johnson(6), Jure Žbontar(5), Adriana Romero(5), Michael Rabbat(5), C. Lawrence Zitnick(5), Michael P. Recht(5), Aaron Defazio(4), Krzysztof J. Geras(4), Zizhao Zhang(4), Pascal Vincent(4), Alireza Radmanesh(4), Zhengnan Huang(4)