Increased Responsiveness to Novelty is Associated with Successful Cognitive Aging. - Kirk R. Daffner; Katherine K. Ryan; Danielle M. Williams; Andrew E. Budson; Dorene M. Rentz; David A. Wolk; Phillip J. Holcomb (J. Cogn. Neurosci., 2006)

Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths. - Bradford C. Dickerson; E. Fenstermacher; David H. Salat; David A. Wolk; Ralph Paul Maguire; Rahul Desikan; Jennifer L. Pacheco; Brian T. Quinn; André J. W. van der Kouwe; Douglas N. Greve; Deborah Blacker; Marilyn S. Albert; et al. (NeuroImage, 2008)

Compensatory neural activity distinguishes different patterns of normal cognitive aging. - Jenna L. Riis; Hyemi Chong; Katherine K. Ryan; David A. Wolk; Dorene M. Rentz; Phillip J. Holcomb; Kirk R. Daffner (NeuroImage, 2008)

Left posterior parietal cortex participates in both task preparation and episodic retrieval. - Jeffrey S. Phillips; Katerina Velanova; David A. Wolk; Mark E. Wheeler (NeuroImage, 2009)

Effects of task-set adoption on ERP correlates of controlled and automatic recognition memory. - Kristine A. Wilckens; Joshua J. Tremel; David A. Wolk; Mark E. Wheeler (NeuroImage, 2011)

Fractionating verbal episodic memory in Alzheimer's disease. - David A. Wolk; Bradford C. Dickerson (NeuroImage, 2011)

Predicting Cognitive Data from Medical Images Using Sparse Linear Regression. - Benjamin M. Kandel; David A. Wolk; James C. Gee; Brian B. Avants (IPMI, 2013)

The effects of aging and Alzheimer's disease on cerebral cortical anatomy: Specificity and differential relationships with cognition. - Akram Bakkour; John C. Morris; David A. Wolk; Bradford C. Dickerson (NeuroImage, 2013)

Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex. - Long Xie; John Pluta; Hongzhi Wang 002; Sandhitsu R. Das; Lauren Mancuso; Dasha Kliot; Brian B. Avants; Song-Lin Ding; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2014)

Transcranial Direct Current Stimulation Enhances Verbal Working Memory Training Performance over Time and Near Transfer Outcomes. - Lauren L. Richmond; David A. Wolk; Jason M. Chein; Ingrid R. Olson (J. Cogn. Neurosci., 2014)

Subject-specific functional parcellation via Prior Based Eigenanatomy. - Paramveer S. Dhillon; David A. Wolk; Sandhitsu R. Das; Lyle H. Ungar; James C. Gee; Brian B. Avants (NeuroImage, 2014)

A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe. - Paul A. Yushkevich; Laura E. M. Wisse; Daniel H. Adler; Ranjit Ittyerah; John Pluta; John L. Robinson; Theresa Schuck; John Q. Trojanowski; Murray Grossman; John A. Detre; Mark A. Elliott; Jon B. Toledo; et al. (EMBC, 2016)

Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology. - Daniel H. Adler; Ranjit Ittyerah; John Pluta; Stephen Pickup; Weixia Liu; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2016)

Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. - Long Xie; Laura E. M. Wisse; Sandhitsu R. Das; Hongzhi Wang 002; David A. Wolk; José V. Manjón; Paul A. Yushkevich (MICCAI (2), 2016)

Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. - Long Xie; John Pluta; Sandhitsu R. Das; Laura E. M. Wisse; Hongzhi Wang 002; Lauren Mancuso; Dasha Kliot; Brian B. Avants; Song-Lin Ding; José V. Manjón; David A. Wolk; Paul A. Yushkevich (NeuroImage, 2017)

Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. - Long Xie; Laura E. M. Wisse; Sandhitsu R. Das; Ranjit Ittyerah; Jiancong Wang; David A. Wolk; Paul A. Yushkevich (ShapeMI@MICCAI, 2018)

Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. - Daniel H. Adler; Laura E. M. Wisse; Ranjit Ittyerah; John Pluta; Song-Lin Ding; Long Xie; Jiancong Wang; Salmon Kadivar; John L. Robinson; Theresa Schuck; John Q. Trojanowski; Murray Grossman; et al. (Proc. Natl. Acad. Sci. USA, 2018)

Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation. - Long Xie; Jiancong Wang; Mengjin Dong; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2019)

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. - Hongming Li; Mohamad Habes; David A. Wolk; Yong Fan 001 (CoRR, 2019)

Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology. - Sadhana Ravikumar; Laura E. M. Wisse; Ranjit Ittyerah; Sydney Lim; Madigan Lavery; Long Xie; John L. Robinson; Theresa Schuck; Murray Grossman; Edward B. Lee; M. Dylan Tisdall; Karthik Prabhakaran; et al. (ISBI, 2020)

3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. - Paul A. Yushkevich; Maria Mercedes Iñiguez de Onzoño Martin; Ranjit Ittyerah; Sydney Lim; Madigan Lavery; Jiancong Wang; Alex Ling Yu Hung; Nicolas Vergnet; Sadhana Ravikumar; Long Xie; Mengjin Dong; Robin DeFlores; et al. (ISBI, 2020)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (CoRR, 2020)

A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies. - Dhivya Srinivasan; Güray Erus; Jimit Doshi; David A. Wolk; Haochang Shou; Mohamad Habes; Christos Davatzikos (NeuroImage, 2020)

Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. - Long Xie; Laura E. M. Wisse; Jiancong Wang; Sadhana Ravikumar; Trevor Glenn; Anica Luther; Sydney Lim; David A. Wolk; Paul A. Yushkevich (IPMI, 2021)

Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging. - Sadhana Ravikumar; Laura E. M. Wisse; Sydney Lim; David J. Irwin; Ranjit Ittyerah; Long Xie; Sandhitsu R. Das; Edward B. Lee; M. Dylan Tisdall; Karthik Prabhakaran; John A. Detre; Gabor Mizsei; et al. (MLCN@MICCAI, 2021)

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. - Zhijian Yang; Ilya M. Nasrallah; Haochang Shou; Junhao Wen 002; Jimit Doshi; Mohamad Habes; Güray Erus; Ahmed Abdulkadir; Susan M. Resnick; David A. Wolk; Christos Davatzikos (CoRR, 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres. - Pulkit Khandelwal; Shokufeh Sadaghiani; Sadhana Ravikumar; Sydney Lim; Sanaz Arezoumandan; Claire Peterson; Eunice Chung; Madigan L. Bedard; Noah Capp; Ranjit Ittyerah; Elyse Migdal; Grace Choi; et al. (CoRR, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (NeuroImage, 2021)

Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. - Sadhana Ravikumar; Ranjit Ittyerah; Sydney Lim; Long Xie; Sandhitsu R. Das; Pulkit Khandelwal; Laura E. M. Wisse; Madigan L. Bedard; John L. Robinson; Terry Schuck; Murray Grossman; John Q. Trojanowski; et al. (IPMI, 2023)

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; Xueying Lyu; Long Xie; Paul A. Yushkevich; David A. Wolk; Ilya M. Nasrallah (MLCN@MICCAI, 2023)

Integrating color deconvolution thresholding and weakly supervised learning for automated segmentation of neurofibrillary tangle and neuropil threads. - Hyung S. Roh; David J. Irwin; Mónica Muñoz López; Maria Mercedes Iñiguez de Onzoño Martin; Ranjit Ittyerah; Sydney Lim; Madigan L. Bedard; John L. Robinson; Theresa Schuck; Emilio Artacho-Pérula; María del Mar Arroyo Jiménez; Maria del Pilar Marcos Rabal; et al. (Digital and Computational Pathology, 2023)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases. - Pulkit Khandelwal; Michael Tran Duong; Shokufeh Sadaghiani; Sydney Lim; Amanda Denning; Eunice Chung; Sadhana Ravikumar; Sanaz Arezoumandan; Claire Peterson; Madigan L. Bedard; Noah Capp; Ranjit Ittyerah; et al. (CoRR, 2023)

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (CoRR, 2023)

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; Sadhana Ravikumar; Pulkit Khandelwal; Trevor Glenn; Anica Luther; Sydney Lim; David A. Wolk; Paul A. Yushkevich (Medical Image Anal., 2023)

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. - Zhen Zhou; Hongming Li; Dhivya Srinivasan; Ahmed Abdulkadir; Ilya M. Nasrallah; Junhao Wen 002; Jimit Doshi; Güray Erus; Elizabeth Mamourian; R. Nick Bryan; David A. Wolk; Lori L. Beason-Held; et al. (NeuroImage, 2023)

Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias. - Pulkit Khandelwal; Michael Tran Duong; Lisa Levorse; Constanza Fuentes; Amanda Denning; Winifred Trotman; Ranjit Ittyerah; Alejandra Bahena; Theresa Schuck; Marianna Gabrielyan; Karthik Prabhakaran; Daniel T. Ohm; et al. (MLCN@MICCAI, 2024)

Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases. - Pulkit Khandelwal; Michael Tran Duong; Constanza Fuentes; Amanda Denning; Winifred Trotman; Ranjit Ittyerah; Alejandra Bahena; Theresa Schuck; Marianna Gabrielyan; Karthik Prabhakaran; Daniel T. Ohm; Gabor Mizsei; et al. (CoRR, 2024)

WarpDrive: Improving spatial normalization using manual refinements. - Simon Oxenford; Ana Sofía Ríos; Barbara Hollunder; Clemens Neudorfer; Alexandre Boutet; Gavin J. B. Elias; Jürgen Germann; Aaron Loh; Wissam Deeb; Bryan Salvato; Leonardo Almeida; Kelly D. Foote; et al. (Medical Image Anal., 2024)

Nearly isotropic segmentation for medial temporal lobe subregions in multi-modality MRI. - Yue Li; Pulkit Khandelwal; Long Xie; Laura E. M. Wisse; Nidhi Mundada; Christopher A. Brown; Emily McGrew; Amanda Denning; Sandhitsu R. Das; David A. Wolk; Paul A. Yushkevich (CoRR, 2025)