publications

2026

  1. Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies
    Pulkit Khandelwal, Michael Tran Duong, Lisa M. Levorse, and 28 more authors
    Alzheimer’s & Dementia, 2026
    DOI
  2. Cortical reconstruction and anatomical parcellation of high-resolution multi-modal postmortem MRI of the human infant brain
    Pulkit Khandelwal, Sala Young, Nathan Xi Ngo, and 5 more authors
    In Perinatal, Preterm and Paediatric Image Analysis (PIPPI), Held in Conjunction with MICCAI 2026, 2026
    Accepted; proceedings forthcoming. Preprint available on bioRxiv
  3. Clinical correlates of perfusion and diffusion MRI metrics in cognitively unimpaired older adults
    Banafsheh Shakibajahromi, Sudipto Dolui, Christopher A. Brown, and 9 more authors
    Journal of Cerebral Blood Flow & Metabolism, 2026
    DOI
  4. Discordance of dopaminergic dysfunction and subcortical atrophy by alpha-synuclein status in sporadic and genetic Parkinson’s disease
    Michael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, and 10 more authors
    Movement Disorders, 2026
    DOI
  5. Volumetric postmortem MRI of the medial temporal lobe in Alzheimer’s disease and related disorders: Methodological advances and implications for in vivo biomarker development
    Yasmine Salman, Amanda E. Denning, Jolien M. Schaeverbeke, and 8 more authors
    NeuroImage, 2026
    DOI
  6. Automated optical density normalization for myelin quantification: Cross-modal validation with 7 Tesla postmortem MRI
    Zahra Khodakarami, Sheina Emrani, Pulkit Khandelwal, and 21 more authors
    In Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, 2026
    Accepted; proceedings forthcoming. Preprint available at arXiv:2605.08711

2025

  1. VIOLET: A framework for combined volumetric image registration via optimization and learning for efficient image translation
    Pulkit Khandelwal, Michael Tran Duong, Lisa Levorse, and 24 more authors
    In Simulation and Synthesis in Medical Imaging: 10th International Workshop, SASHIMI 2025, Held in Conjunction with MICCAI 2025, 2025
    DOI
  2. Regional cerebral blood flow reflects both neurodegeneration and microvascular integrity across the Alzheimer’s continuum
    Mohammad Taghvaei, Sudipto Dolui, Shokufeh Sadaghiani, and 8 more authors
    Alzheimer’s & Dementia, 2025
    DOI
  3. Operationalizing postmortem pathology-MRI association studies in Alzheimer’s disease and related disorders with MRI-guided histology sampling
    Chinmayee Athalye, Alejandra Bahena, Pulkit Khandelwal, and 20 more authors
    Acta Neuropathologica Communications, 2025
    DOI
  4. Automatic segmentation of medial temporal lobe subregions in multi-scanner, multi-modality magnetic resonance imaging of variable quality
    Yue Li, Long Xie, Pulkit Khandelwal, and 9 more authors
    Hippocampus, 2025
    DOI
  5. Development of an isotropic segmentation model for medial temporal lobe subregions on anisotropic MRI atlas using implicit neural representation
    Yue Li, Pulkit Khandelwal, Rohit Jena, and 8 more authors
    arXiv preprint arXiv:2508.17171, 2025
    DOI
  6. Imaging biomarkers for neurodegenerative diseases from detailed segmentation of medial temporal lobe subregions on in vivo brain MRI using an upsampling strategy guided by high-resolution postmortem MRI
    Yue Li, Pulkit Khandelwal, Long Xie, and 8 more authors
    In Multimodal Learning and Fusion Across Scales for Clinical Decision Support: 13th International Workshop, ML-CDS 2025, Held in Conjunction with MICCAI 2025, 2025
    Presented at ML-CDS 2025; final chapter pagination and DOI were not yet available when this file was prepared. Related preprint: arXiv:2504.18442
  7. Hypometabolic mismatch with atrophy and tau pathology in mixed Alzheimer’s and Lewy body disease
    Michael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, and 10 more authors
    Brain, 2025
    DOI
  8. A multi-cohort study of longitudinal and cross-sectional Alzheimer’s disease biomarkers in cognitively unimpaired older adults
    Long Xie, Sandhitsu R. Das, Yue Li, and 22 more authors
    Alzheimer’s & Dementia, 2025
    DOI

2024

  1. Automated deep learning segmentation of high-resolution 7 Tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases
    Pulkit Khandelwal, Michael Tran Duong, Shokufeh Sadaghiani, and 34 more authors
    Imaging Neuroscience, 2024
    DOI
  2. Surface-based parcellation and vertex-wise analysis of ultra-high-resolution postmortem 7 Tesla MRI in Alzheimer’s disease and related dementias
    Pulkit Khandelwal, Michael Tran Duong, Lisa Levorse, and 20 more authors
    In Machine Learning in Clinical Neuroimaging: 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, 2024
    DOI
  3. Craniofacial soft-tissue anthropomorphic database with magnetic resonance imaging and unbiased diffeomorphic registration
    Dillan F. Villavisanis, Pulkit Khandelwal, Zachary D. Zapatero, and 7 more authors
    Plastic and Reconstructive Surgery, 2024
    Dillan F. Villavisanis and Pulkit Khandelwal contributed equally
    DOI
  4. Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI subjects
    Mohammad Taghvaei, Dawn J. Mechanic-Hamilton, Shokufeh Sadaghiani, and 13 more authors
    Neurobiology of Aging, 2024
    DOI
  5. Association of quantitative histopathology measurements with antemortem medial temporal lobe cortical thickness in the Alzheimer’s disease continuum
    Amanda E. Denning, Ranjit Ittyerah, Lisa M. Levorse, and 35 more authors
    Acta Neuropathologica, 2024
    DOI

2023

  1. Image-to-image translation between tau pathology and neuronal metabolism PET in Alzheimer disease with multi-domain contrastive learning
    Michael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, and 5 more authors
    In Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, 2023
    Co-first authors; Best Paper Award
    DOI
  2. Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation
    Long Xie, Laura E. M. Wisse, Jiancong Wang, and 7 more authors
    Medical Image Analysis, 2023
    DOI
  3. Associations of phosphorylated tau pathology with whole-hemisphere postmortem morphometry in 7 Tesla MRI
    Shokufeh Sadaghiani, Winifred Trotman, Sydney A. Lim, and 32 more authors
    Alzheimer’s & Dementia, 2023
    DOI
  4. Improved segmentation of deep sulci in cortical gray matter using a deep learning framework incorporating Laplace’s equation
    Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim, and 29 more authors
    In Information Processing in Medical Imaging, 2023
    DOI
  5. Young versus older subject diffusion MRI data for virtual white matter lesion tractography?
    Mohammad Taghvaei, Philip Cook, Shokufeh Sadaghiani, and 10 more authors
    Human Brain Mapping, 2023
    DOI

2022

  1. Automatic segmentation of bone-selective MR images for visualization and craniometry of the cranial vault
    Carrie E. Zimmerman, Pulkit Khandelwal, Long Xie, and 6 more authors
    Academic Radiology, 2022
    Carrie E. Zimmerman and Pulkit Khandelwal contributed equally
    DOI
  2. Fully automated 3D segmentation and diffeomorphic medial modeling of the left ventricle mitral valve complex in ischemic mitral regurgitation
    Ahmed H. Aly, Pulkit Khandelwal, Abdullah H. Aly, and 8 more authors
    Medical Image Analysis, 2022
    DOI

2021

  1. Spine and individual vertebrae segmentation in computed tomography images using geometric flows and shape priors
    Pulkit Khandelwal, D. Louis Collins, and Kaleem Siddiqi
    Frontiers in Computer Science, 2021
    DOI

2020

  1. Domain Generalizer: A few-shot meta-learning framework for domain generalization in medical imaging
    Pulkit Khandelwal and Paul A. Yushkevich
    In Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, 2020
    DOI
  2. Benchmarking human performance in semiautomated image segmentation
    Mark G. Eramian, Christopher Power, Stephen Rau, and 1 more author
    Interacting with Computers, 2020
    DOI