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David A. Wolk
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2020 – today
- 2024
- [j16]Simon Oxenford, Ana Sofía Ríos, Barbara Hollunder
, Clemens Neudorfer
WarpDrive: Improving spatial normalization using manual refinements. Medical Image Anal. 91: 103041 (2024) - [i13]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, John L. Robinson, Mónica Muñoz López, John A. Detre, Edward B. Lee, David J. Irwin, Corey McMillan, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich:
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases. CoRR abs/2403.19497 (2024) - 2023
- [j15]Long Xie
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation. Medical Image Anal. 83: 102683 (2023) - [j14]Zhen Zhou
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269: 119911 (2023) - [c13]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, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. IPMI 2023: 692-704 - [c12]Michael Tran Duong
Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning. MLCN@MICCAI 2023: 3-13 - [i12]Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - [i11]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, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. CoRR abs/2303.00795 (2023) - [i10]Pulkit Khandelwal, Michael Tran Duong, Shokufeh Sadaghiani, Sydney Lim, Amanda Denning, Eunice Chung, Sadhana Ravikumar, Sanaz Arezoumandan, Claire Peterson, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, Winifred Trotman, John L. Robinson, Daniel T. Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, John A. Detre, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich:
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases. CoRR abs/2303.12237 (2023) - [i9]Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich:
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI. CoRR abs/2304.04673 (2023) - 2021
- [j13]Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores
DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. NeuroImage 243: 118514 (2021) - [c11]Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. IPMI 2021: 428-439 - [c10]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, John Q. Trojanowski, John L. Robinson, Theresa Schuck, Murray Grossman, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging. MLCN@MICCAI 2021: 3-12 - [i8]Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos:
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. CoRR abs/2102.12582 (2021) - [i7]Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich:
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline. CoRR abs/2103.10892 (2021) - [i6]Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk:
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR abs/2109.03723 (2021) - [i5]Pulkit Khandelwal, Shokufeh Sadaghiani, Sadhana Ravikumar, Sydney Lim, Sanaz Arezoumandan, Claire Peterson, Eunice Chung, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, John L. Robinson, Daniel T. Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich:
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres. CoRR abs/2110.07711 (2021) - [i4]Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - 2020
- [j12]Dhivya Srinivasan, Güray Erus, Jimit Doshi
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. NeuroImage 223: 117248 (2020) - [c9]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, John A. Detre, Sandhitsu R. Das, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, David J. Irwin
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology. ISBI 2020: 113-117 - [c8]Paul A. Yushkevich, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Alex Ling Yu Hung
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. ISBI 2020: 1312-1316 - [i3]Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020) - [i2]Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich:
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease. CoRR abs/2010.12948 (2020)
2010 – 2019
- 2019
- [c7]Long Xie, Jiancong Wang, Mengjin Dong, David A. Wolk, Paul A. Yushkevich:
Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation. MICCAI (3) 2019: 347-355 - [i1]Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan:
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. CoRR abs/1904.07282 (2019) - 2018
- [j11]Daniel H. Adler, Laura E. M. Wisse, Ranjit Ittyerah, John Pluta, Song-Lin Ding
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. Proc. Natl. Acad. Sci. USA 115(16): 4252-4257 (2018) - [c6]Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Ranjit Ittyerah, Jiancong Wang, David A. Wolk, Paul A. Yushkevich
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. ShapeMI@MICCAI 2018: 28-37 - 2017
- [j10]Long Xie, John Pluta, Sandhitsu R. Das, Laura E. M. Wisse, Hongzhi Wang, Lauren Mancuso, Dasha Kliot, Brian B. Avants
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. NeuroImage 144: 183-202 (2017) - 2016
- [c5]Paul A. Yushkevich
A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe. EMBC 2016: 6014-6017 - [c4]Daniel H. Adler, Ranjit Ittyerah, John Pluta, Stephen Pickup, Weixia Liu, David A. Wolk, Paul A. Yushkevich
Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology. MICCAI (3) 2016: 63-71 - [c3]Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Hongzhi Wang, David A. Wolk, José V. Manjón, Paul A. Yushkevich
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. MICCAI (2) 2016: 564-571 - 2014
- [j9]Lauren L. Richmond
Transcranial Direct Current Stimulation Enhances Verbal Working Memory Training Performance over Time and Near Transfer Outcomes. J. Cogn. Neurosci. 26(11): 2443-2454 (2014) - [j8]Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants
Subject-specific functional parcellation via Prior Based Eigenanatomy. NeuroImage 99: 14-27 (2014) - [c2]Long Xie, John Pluta, Hongzhi Wang, Sandhitsu R. Das, Lauren Mancuso, Dasha Kliot, Brian B. Avants
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex. MICCAI (3) 2014: 81-88 - 2013
- [j7]Akram Bakkour
The effects of aging and Alzheimer's disease on cerebral cortical anatomy: Specificity and differential relationships with cognition. NeuroImage 76: 332-344 (2013) - [c1]Benjamin M. Kandel, David A. Wolk, James C. Gee, Brian B. Avants
Predicting Cognitive Data from Medical Images Using Sparse Linear Regression. IPMI 2013: 86-97 - 2011
- [j6]David A. Wolk, Bradford C. Dickerson:
Fractionating verbal episodic memory in Alzheimer's disease. NeuroImage 54(2): 1530-1539 (2011) - [j5]Kristine A. Wilckens
Effects of task-set adoption on ERP correlates of controlled and automatic recognition memory. NeuroImage 55(3): 1384-1392 (2011)
2000 – 2009
- 2009
- [j4]Jeffrey S. Phillips
Left posterior parietal cortex participates in both task preparation and episodic retrieval. NeuroImage 46(4): 1209-1221 (2009) - 2008
- [j3]Bradford C. Dickerson, E. Fenstermacher, David H. Salat, David A. Wolk, Ralph Paul Maguire
Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths. NeuroImage 39(1): 10-18 (2008) - [j2]Jenna L. Riis, Hyemi Chong, Katherine K. Ryan, David A. Wolk, Dorene M. Rentz, Phillip J. Holcomb, Kirk R. Daffner:
Compensatory neural activity distinguishes different patterns of normal cognitive aging. NeuroImage 39(1): 441-454 (2008) - 2006
- [j1]Kirk R. Daffner, Katherine K. Ryan, Danielle M. Williams, Andrew E. Budson, Dorene M. Rentz, David A. Wolk, Phillip J. Holcomb:
Increased Responsiveness to Novelty is Associated with Successful Cognitive Aging. J. Cogn. Neurosci. 18(10): 1759-1773 (2006)
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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