Mert R. Sabuncu

Cornell University — United States

Neuroscience · Life Sciences

58h-index35.6kcitations348works3.02yr avg
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Research Topics

Functional Brain Connectivity Studies(79), Medical Image Segmentation Techniques(67), Advanced MRI Techniques and Applications(56), Advanced Neuroimaging Techniques and Applications(44), Neural dynamics and brain function(28)

Publications348 total

Author's Reply: Unrecognized Biases and Validation Gaps in TraceOrg for Automated Autosomal Dominant Polycystic Kidney Disease Volumetry
Journal of the American Society of Nephrology·2026
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion
Physics in Medicine and Biology·2025Open Access
NeuroVolve: Evolving Visual Stimuli toward Programmable Neural Objectives
arXiv (Cornell University)·2025Open Access
AtlasMorph: Learning conditional deformable templates for brain MRI
arXiv (Cornell University)·2025Open Access
From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology
arXiv (Cornell University)·2025Open Access
Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease
Journal of the American Society of Nephrology·2025Open Access
Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction
BioTech·2025Open Access
Sub-Millimeter 2D Intrinsic Resolution Recovery in Semi-Monolithic PET Detector using Neural Networks - a Monte Carlo Simulation
2025
Recovering Image Quality in Cost-Effective Sparse PET Imaging Using Attention-Enhanced 3D U-Net
2025
Regularized CCA identifies sex-specific brain-behavior associations in adolescent psychopathology
Translational Psychiatry·2025Open Access
TraceOrg: Automatically Measuring Kidney, Liver, and Cyst Volumes in ADPKD
Journal of the American Society of Nephrology·2025
Generating Novel Brain Morphology by Deforming Learned Templates
Lecture notes in computer science·2025Open Access
Technical Feasibility of Quantitative Susceptibility Mapping Radiomics for Predicting Deep Brain Stimulation Outcomes in Parkinson Disease
Neurosurgery·2025
TraceOrg: An AI Platform for Reproducible ADPKD Organ/Cyst Contouring on MRI
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·2025
Age-related changes of the brain’s arterial network assessed with machine learning segmentation
2025Open Access
Artificial intelligence and the limits of predictability in medicine
Journal of Medical Artificial Intelligence·2025Open Access
Predicting Clinical Outcomes and Symptom Relief in Uterine Fibroid Embolization Using Machine Learning on MRI Features
AI·2025· 3 citedOpen Access
Glo-VLMs: Leveraging Vision-Language Models for Fine-Grained Diseased Glomerulus Classification
arXiv (Cornell University)·2025Open Access
DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology
arXiv (Cornell University)·2025Open Access
Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation
Scientific Reports·2025· 3 citedOpen Access
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Frequent Co-authors

B.T. Thomas Yeo(16), Bruce Fischl(10), Avram J. Holmes(10), Reisa A. Sperling(8), Jorge Sepulcre(7), Jordan W. Smoller(7), Hesheng Liu(7), Randy L. Buckner(7), Ru Kong(6), Tian Ge(6), Douglas N. Greve(5), John C. Morris(5), Jingwei Li(4), Csaba Orbán(4), Nanbo Sun(4), Polina Golland(4), Adrian V. Dalca(4), Clifford R. Jack(4), William J. Jagust(4), John Q. Trojanowki(4)