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A comprehensive interpretable machine learning framework for Mild
Cognitive Impairment and Alzheimer's disease diagnosis
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2024
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Maria Eleftheria Vlontzou
Μαρία Αθανασίου
Kalliopi Dalakleidi
Ioanna Skampardoni
Christos Davatzikos
Konstantina S. Nikita
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Brain age identification from diffusion MRI synergistically predicts
neurodegenerative disease
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2024
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Chenyu Gao
Michael E. Kim
Karthik Ramadass
Praitayini Kanakaraj
Aravind R. Krishnan
Adam Saunders
Nancy R. Newlin
Ho Hin Lee
Qi Yang
Warren D. Taylor
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NeuroSynth: MRI-Derived Neuroanatomical Generative Models and Associated Dataset of 18,000 Samples.
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2024
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Sai Spandana Chintapalli
Rongguang Wang
Zhijian Yang
Vasiliki Tassopoulou
Fanyang Yu
Vishnu Bashyam
Güray Erus
Pratik Chaudhari
Haochang Shou
Christos Davatzikos
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Generative models of MRI-derived neuroimaging features and associated
dataset of 18,000 samples
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2024
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Sai Spandana Chintapalli
Rongguang Wang
Zhijian Yang
Vasiliki Tassopoulou
Fanyang Yu
Vishnu Bashyam
Güray Erus
Pratik Chaudhari
Haochang Shou
Christos Davatzikos
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BraTS-PEDs: Results of the Multi-Consortium International Pediatric
Brain Tumor Segmentation Challenge 2023
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2024
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Anahita Fathi Kazerooni
Nastaran Khalili
Xinyang Liu
Debanjan Haldar
Zhifan Jiang
Anna Zapaishchykova
Julija Pavaine
Lubdha M. Shah
Blaise V. Jones
Nakul Sheth
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Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits
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2024
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Zixuan Wen
Jingxuan Bao
Shuhua Yang
Junhao Wen
Qipeng Zhan
Yuhan Cui
Güray Erus
Zhijian Yang
Paul M. Thompson
Yize Zhao
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Analysis of the BraTS 2023 Intracranial Meningioma Segmentation
Challenge
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2024
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Dominic LaBella
Ujjwal Baid
Omaditya Khanna
Shan McBurney-Lin
Ryan McLean
Pierre Nedelec
Arif Rashid
Nourel Hoda Tahon
Talissa A. Altes
Radhika Bhalerao
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Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
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2024
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Junhao Wen
Mathilde Antoniades
Zhijian Yang
Gyujoon Hwang
Ioanna Skampardoni
Rongguang Wang
Christos Davatzikos
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Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
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2024
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Junhao Wen
Mathilde Antoniades
Zhijian Yang
Gyujoon Hwang
Ioanna Skampardoni
Rongguang Wang
Christos Davatzikos
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The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
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2023
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Hongwei Li
Gian Marco Conte
Syed Muhammad Anwar
Florian Kofler
Ivan Ezhov
Koen Van Leemput
Marie Piraud
María Díaz
Byrone Cole
Evan Calabrese
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GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
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2023
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Sarthak Pati
Siddhesh Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
Bhakti Baheti
Megh Bhalerao
Orhun Güley
Sofia Mouchtaris
David Lang
Spyridon Thermos
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Deep learning based detection of enlarged perivascular spaces on brain MRI
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2023
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Tanweer Rashid
Hangfan Liu
Jeffrey B. Ware
Karl Li
José R. Romero
Elyas Fadaee
Ilya M. Nasrallah
Saima Hilal
R. Nick Bryan
Timothy M. Hughes
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Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies
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2023
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Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
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Applications of generative adversarial networks in neuroimaging and clinical neuroscience
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2023
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Rongguang Wang
Vishnu Bashyam
Zhijian Yang
Fanyang Yu
Vasiliki Tassopoulou
Sai Spandana Chintapalli
Ioanna Skampardoni
Lasya P. Sreepada
Dushyant Sahoo
Konstantina S. Nikita
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Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
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2023
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Zhijian Yang
Junhao Wen
Ahmed Abdulkadir
Yuhan Cui
Güray Erus
Elizabeth Mamourian
Randa Melhem
Dhivya Srinivasan
Sindhuja T. Govindarajan
Jiong Chen
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The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
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2023
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Florian Kofler
Felix Meissen
Felix Steinbauer
Robert Graf
Eva Oswald
Ezequiel de da Rosa
Hongwei Li
Ujjwal Baid
Florian Hoelzl
Oezguen Turgut
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The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
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2023
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Hongwei Li
Gian Marco Conte
Syed Muhammad Anwar
Florian Kofler
Ivan Ezhov
Koen Van Leemput
Marie Piraud
María Díaz
Byrone Cole
Evan Calabrese
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Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
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2023
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Rongguang Wang
Guray Erus
Pratik Chaudhari
Christos Davatzikos
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MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
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2023
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Jianning Li
Antonio Pepe
Christina Gsaxner
Gijs Luijten
Yuan Jin
Narmada Ambigapathy
Enrico Nasca
Naida Solak
Gian Marco Melito
Afaque Rafique Memon
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Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis
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2023
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Zixuan Wen
Jingxuan Bao
Shu Yang
Shannon L. Risacher
Andrew J. Saykin
Paul M. Thompson
Christos Davatzikos
Heng Huang
Yize Zhao
Li Shen
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Federated learning enables big data for rare cancer boundary detection
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2022
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Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah Sheller
Shih‐Han Wang
G. Anthony Reina
Patrick Foley
А. Д. Груздев
Deepthi Karkada
Christos Davatzikos
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Ensemble Inversion for Brain Tumor Growth Models With Mass Effect
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2022
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Shashank Subramanian
Ali Ghafouri
Klaudius Scheufele
Naveen Himthani
Christos Davatzikos
George Biros
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Ensemble inversion for brain tumor growth models with mass effect - Results with BraTS20
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2022
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Shashank Subramanian
Ali Ghafouri
Klaudius Scheufele
Naveen Himthani
Christos Davatzikos
George Biros
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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results
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2022
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Raghav Mehta
Angelos Filos
Ujjwal Baid
Chiharu Sako
Richard McKinley
Michael Rebsamen
Katrin Dätwyler
Raphael Meier
Piotr Radojewski
Gowtham Krishnan Murugesan
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Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study
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2022
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Dushyant Sahoo
Mathilde Antoniades
Cynthia H.Y. Fu
Christos Davatzikos
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Federated Learning Enables Big Data for Rare Cancer Boundary Detection
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2022
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Sarthak Pati
Ujjwal Baid
Brandon L. Edwards
Micah Sheller
Shih‐Han Wang
G. Anthony Reina
Patrick Foley
А. Д. Груздев
Deepthi Karkada
Christos Davatzikos
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Subtyping brain diseases from imaging data
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2022
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Junhao Wen
Erdem Varol
Zhijian Yang
Gyujoon Hwang
Dominique Dwyer
Anahita Fathi Kazerooni
Paris Alexandros Lalousis
Christos Davatzikos
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Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
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2022
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Zhijian Yang
Junhao Wen
Christos Davatzikos
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Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
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2022
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Rongguang Wang
Vishnu Bashyam
Zhijian Yang
Fanyang Yu
Vasiliki Tassopoulou
Lasya P. Sreepada
Sai Spandana Chintapalli
Dushyant Sahoo
Ioanna Skampardoni
Konstantina S. Nikita
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+
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Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI
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2022
|
Tanweer Rashid
Hangfan Liu
Jeffrey B. Ware
Karl Li
José R. Romero
Elyas Fadaee
Ilya M. Nasrallah
Saima Hilal
R. Nick Bryan
Timothy M. Hughes
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The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
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2021
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Răzvan V. Marinescu
Neil P. Oxtoby
Alexandra L. Young
Esther E. Bron
Arthur W. Toga
Michael W. Weiner
Frederik Barkhof
Nick C. Fox
Arman Eshaghi
Tina Toni
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Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation
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2021
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Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
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The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
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2021
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Ujjwal Baid
Satyam Ghodasara
Michel Bilello
Suyash Mohan
Evan Calabrese
Errol Colak
Keyvan Farahani
Jayashree Kalpathy‐Cramer
Felipe Kitamura
Sarthak Pati
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Harmonization with Flow-based Causal Inference
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2021
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Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
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Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
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2021
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Dushyant Sahoo
Christos Davatzikos
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Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
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2021
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Dushyant Sahoo
Christos Davatzikos
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Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning.
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2021
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Dushyant Sahoo
Christos Davatzikos
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Embracing the Disharmony in Heterogeneous Medical Data.
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2021
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Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
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Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
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2021
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Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
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A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises
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2021
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S. Kevin Zhou
Hayit Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
Anant Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
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GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
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2021
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Sarthak Pati
Siddhesh Thakur
Megh Bhalerao
Spyridon Thermos
Ujjwal Baid
Karol Gotkowski
Camila González
Orhun Güley
İbrahim Ethem Hamamcı
Sezgin Er
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Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease
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2021
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Zhijian Yang
Ilya M. Nasrallah
Haochang Shou
Junhao Wen
Jimit Doshi
Mohamad Habes
Güray Erus
Ahmed Abdulkadir
Susan M. Resnick
David A. Wolk
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The Federated Tumor Segmentation (FeTS) Challenge
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2021
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Sarthak Pati
Ujjwal Baid
Maximilian Zenk
Brandon Edwards
Micah Sheller
G. Anthony Reina
Patrick Foley
Alexey Gruzdev
Jason Martin
Shadi Albarqouni
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Harmonization with Flow-based Causal Inference
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2021
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Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
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Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
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2021
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Gyujoon Hwang
Ahmed Abdulkadir
Güray Erus
Mohamad Habes
Raymond Pomponio
Haochang Shou
Jimit Doshi
Elizabeth Mamourian
Tanweer Rashid
Murat Bilgel
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Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics
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2021
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Junhao Wen
Cynthia H.Y. Fu
Duygu Tosun
Yogasudha Veturi
Zhijian Yang
Ahmed Abdulkadir
Elizabeth Mamourian
Dhivya Srinivasan
Jingxuan Bao
Güray Erus
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The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients
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2021
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Bhakti Baheti
Diana Waldmannstetter
Satrajit Chakrabarty
Hamed Akbari
Michel Bilello
Benedikt Wiestler
Julian Schwarting
Evan Calabrese
Jeffrey D. Rudie
S. H. Abidi
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The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
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2021
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Ujjwal Baid
Satyam Ghodasara
Suyash Mohan
Michel Bilello
Evan Calabrese
Errol Colak
Keyvan Farahani
Jayashree Kalpathy-Cramer
Felipe Kitamura
Sarthak Pati
|
|
+
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Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
|
2021
|
Dushyant Sahoo
Christos Davatzikos
|
|
+
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Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning
|
2021
|
Dushyant Sahoo
Christos Davatzikos
|
|
+
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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
|
2021
|
Raghav Mehta
Angelos Filos
Ujjwal Baid
Chiharu Sako
Richard McKinley
Michael Rebsamen
Katrin Datwyler
Raphaël Meier
Piotr Radojewski
Gowtham Krishnan Murugesan
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|
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Ensemble inversion for brain tumor growth models with mass effect
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2021
|
Shashank Subramanian
Klaudius Scheufele
Naveen Himthani
Christos Davatzikos
George Biros
|
|
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PDF
Chat
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Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI
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2020
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Dushyant Sahoo
Theodore D. Satterthwaite
Christos Davatzikos
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A predictive, modeling‐based screening tool to enrich amyloid beta positivity in a cognitively normal sample
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2020
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Monica Truelove‐Hill
Güray Erus
Raymond Pomponio
Vishnu Bashyam
Jimit Doshi
Mohamad Habes
Ali Ezzati
Murat Bilgel
Susan M. Resnick
Ilya M. Nasrallah
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Stages of tau aggregation associated with amyloidosis reflected in non‐negative matrix factorization components
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2020
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Dhivya Srinivasan
Monica Truelove‐Hill
Güray Erus
Aristeidis Sotiras
Jimit Doshi
David A. Wolk
Christos Davatzikos
Ilya M. Nasrallah
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A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
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2020
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Xu Han
Zhengyang Shen
Zhenlin Xu
Spyridon Bakas
Hamed Akbari
Michel Bilello
Christos Davatzikos
Marc Niethammer
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Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology
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2020
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Andreas Mang
Spyridon Bakas
Shashank Subramanian
Christos Davatzikos
George Biros
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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
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2020
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Alex Zwanenburg
Martin Vallières
Mahmoud A. Abdalah
Hugo J.W.L. Aerts
Vincent Andrearczyk
Aditya Apte
Saeed Ashrafinia
Spyridon Bakas
Roelof J. Beukinga
Ronald Boellaard
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Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images
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2020
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Zhijian Yang
Junhao Wen
Christos Davatzikos
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MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases
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2020
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Junhao Wen
Erdem Varol
Ganesh B. Chand
Aristeidis Sotiras
Christos Davatzikos
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Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
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2020
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Vishnu Bashyam
Jimit Doshi
Güray Erus
Dhivya Srinivasan
Ahmed Abdulkadir
Mohamad Habes
Yong Fan
Colin L. Masters
Paul Maruff
Chuanjun Zhuo
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MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases
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2020
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Junhao Wen
Erdem Varol
Ganesh B. Chand
Aristeidis Sotiras
Christos Davatzikos
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A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
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2020
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Xu Han
Zhengyang Shen
Zhenlin Xu
Spyridon Bakas
Hamed Akbari
Michel Bilello
Christos Davatzikos
Marc Niethammer
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The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
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2020
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Răzvan V. Marinescu
Neil P. Oxtoby
Alexandra L. Young
Esther E. Bron
Arthur W. Toga
Michael W. Weiner
Frederik Barkhof
Nick C. Fox
Arman Eshaghi
Tina Toni
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PDF
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Estimating regional cerebral blood flow using resting-state functional MRI via machine learning
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2019
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Ganesh B. Chand
Mohamad Habes
Sudipto Dolui
John A. Detre
David A. Wolk
Christos Davatzikos
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Machine learning-based imaging biomarkers improve statistical power in clinical trials
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2019
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Carolyn Lou
Mohamad Habes
Christos Davatzikos
Russell T. Shinohara
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Coupling brain-tumor biophysical models and diffeomorphic image registration
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2019
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Klaudius Scheufele
Andreas Mang
Amir Gholami
Christos Davatzikos
George Biros
Miriam Mehl
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DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
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2019
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Jimit Doshi
Güray Erus
Mohamad Habes
Christos Davatzikos
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Open Source Software Sustainability Models: Initial White Paper from the Informatics Technology for Cancer Research Sustainability and Industry Partnership Work Group
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2019
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Yu Wei Ye
Richard D. Boyce
Michael K Davis
Keith Elliston
Christos Davatzikos
Andriy Fedorov
Jean‐Christophe Fillion‐Robin
Ian Foster
John R. Gilbertson
Mervi Heiskanen
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CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration
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2019
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Andreas Mang
Amir Gholami
Christos Davatzikos
George Biros
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IC‐P‐021: MULTIVARIATE PATTERN ANALYSIS ON A LONGITUDINAL COHORT OF COGNITIVELY NORMAL ELDERLY REVEALS DISTINCT STAGES OF REGIONAL AMYLOID DEPOSITION
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2018
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Aristeidis Sotiras
Murat Bilgel
Güray Erus
Yin Jie Chen
Mohamad Habes
Ilya M. Nasrallah
Haochang Shou
David A. Wolk
Susan M. Resnick
Christos Davatzikos
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PDE-constrained optimization in medical image analysis
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2018
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Andreas Mang
Amir Gholami
Christos Davatzikos
George Biros
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PDF
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MIDAS: Regionally linear multivariate discriminative statistical mapping
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2018
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Erdem Varol
Aristeidis Sotiras
Christos Davatzikos
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Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging
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2018
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Erdem Varol
Aristeidis Sotiras
Ke Zeng
Christos Davatzikos
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Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis
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2017
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Nicolas Honnorat
Christos Davatzikos
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Riccati-regularized Precision Matrices for Neuroimaging
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2016
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Nicolas Honnorat
Christos Davatzikos
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Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning
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2016
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Christos Davatzikos
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Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images
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2016
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Polina Gross
Nicolas Honnorat
Erdem Varol
Markus Wallner
Danielle M. Trappanese
Thomas E. Sharp
Timothy Starosta
Jason M. Duran
Sarah Koller
Christos Davatzikos
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Cohort characteristics and bivariate cross-sectional analyses.
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2016
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Yosef Berlyand
Weintraub Daniel
X. Xie Sharon
A. Mellis Ian
Doshi Jimit
Rick Jacqueline
McBride Jennifer
Christos Davatzikos
Mitch Leslie
Hurtig Howard
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Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity
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2016
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Rastko Ćirić
Daniel H. Wolf
Jonathan D. Power
David R. Roalf
Graham L. Baum
Kosha Ruparel
Russell T. Shinohara
Mark A. Elliott
Simon B. Eickhoff
Christos Davatzikos
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Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes
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2016
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Erdem Varol
Aristeidis Sotiras
Christos Davatzikos
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Riccati-regularized Precision Matrices for Neuroimaging
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2016
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Nicolas Honnorat
Christos Davatzikos
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NIMG-05IDENTIFICATION OF IMAGING SIGNATURES OF THE EPIDERMAL GROWTH FACTOR RECEPTOR VARIANT III (EGFRvIII) IN GLIOBLASTOMA
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2015
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Spyridon Bakas
Hamed Akbari
Jared Pisapia
Martin Rozycki
Donald M. O’Rourke
Christos Davatzikos
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Interpreting support vector machine models for multivariate group wise analysis in neuroimaging
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2015
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Bilwaj Gaonkar
Russell T. Shinohara
Christos Davatzikos
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A Bayesian Approach to Sparse Model Selection in Statistical Shape Models
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2015
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Ali Gooya
Christos Davatzikos
Alejandro F. Frangi
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Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder
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2015
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Xiangyang Wang
Tianhao Zhang
Tiffany M. Chaim
Marcus V. Zanetti
Christos Davatzikos
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Statistical Atlases
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2015
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Christos Davatzikos
Ragini Verma
Dinggang Shen
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Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data
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2013
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Bilwaj Gaonkar
Aristeidis Sotiras
Christos Davatzikos
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A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution
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2013
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Ali Gooya
Elaheh Mousavi
Christos Davatzikos
Hongen Liao
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Correspondence between in vivo 11C-PiB-PET amyloid imaging and postmortem, region-matched assessment of plaques
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2012
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Ira Driscoll
Juan C. Troncoso
Gay Rudow
Jitka Sojkova
Olga Pletniková
Yun Zhou
Michael A. Kraut
Luigi Ferrucci
Chester A. Mathis
William E. Klunk
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Registration of unseen images based on the generative manifold modeling of variations of appearance and anatomical shape in brain population
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2012
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Weiwei Zhang
Christos Davatzikos
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Statistical atlases and machine learning tools applied to optimized prostate biopsy for cancer detection and estimation of volume and Gleason score
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2011
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Christos Davatzikos
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Regularized Tensor Factorization for Multi-Modality Medical Image Classification
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2011
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Kayhan Batmanghelich
Aoyan Dong
Ben Taskar
Christos Davatzikos
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Multilevel Functional Principal Component Analysis for High-Dimensional Data
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2011
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Vadim Zipunnikov
Brian Caffo
David M. Yousem
Christos Davatzikos
Brian S. Schwartz
Ciprian M. Crainiceanu
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Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling
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2010
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Ali Gooya
George Biros
Christos Davatzikos
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Morphological appearance manifolds in computational anatomy: Groupwise registration and morphological analysis
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2009
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Christos Davatzikos
Nai-Xiang Lian
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Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score
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2009
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Yangming Ou
Dinggang Shen
Jianchao Zeng
Leon Sun
Judd W. Moul
Christos Davatzikos
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Optimized biopsy procedures for estimating Gleason Score and prostate cancer volume
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2008
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Yangming Ou
Dinggang Shen
Yong Fan
Jianchao Zeng
Leon Sun
Christos Davatzikos
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Brain–Tumor Interaction Biophysical Models for Medical Image Registration
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2008
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Cosmina Hogea
Christos Davatzikos
George Biros
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ON THE MERITS OF VOXEL-BASED MORPHOMETRIC PATH-ANALYSIS FOR INVESTIGATING VOLUMETRIC MEDIATION OF A TOXICANT'S INFLUENCE ON COGNITIVE FUNCTION
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2008
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Shu-chih Su
Brian Caffo
Lynn E. Eberly
Elizabeth Garrett‐Mayer
Walter F. Stewart
Sining Chen
David M. Yousem
Christos Davatzikos
Brian S. Schwartz
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Modeling Glioma Growth and Mass Effect in 3D MR Images of the Brain
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2007
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Cosmina Hogea
Christos Davatzikos
George Biros
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An image-driven parameter estimation problem for a reaction–diffusion glioma growth model with mass effects
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2007
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Cosmina Hogea
Christos Davatzikos
George Biros
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Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor
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2007
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Sokratis Makrogiannis
Ragini Verma
Christos Davatzikos
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Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images
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2007
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Parmeshwar Khurd
Ragini Verma
Christos Davatzikos
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An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis
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2007
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Sajjad Baloch
Ragini Verma
Christos Davatzikos
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COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements
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2007
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Yong Fan
Dinggang Shen
Ruben C. Gur
Raquel E. Gur
Christos Davatzikos
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Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations
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2007
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Ashraf Mohamed
Christos Davatzikos
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A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation
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2006
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Sokratis Makrogiannis
Ragini Verma
Bilge Karaçalı
Christos Davatzikos
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On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure
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2006
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Parmeshwar Khurd
Ragini Verma
Christos Davatzikos
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Manifold Based Analysis of Diffusion Tensor Images Using Isomaps
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2006
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Ragini Verma
Christos Davatzikos
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Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations
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2005
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Zhong Xue
Dinggang Shen
Bilge Karaçalı
Christos Davatzikos
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Voxel‐Based Morphometric Analysis Using Shape Transformations
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2005
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Christos Davatzikos
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Why voxel-based morphometric analysis should be used with great caution when characterizing group differences
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2004
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Christos Davatzikos
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Applications of Wavelets in Morphometric Analysis of Medical Images
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2003
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Christos Davatzikos
Xiaodong Tao
Dinggang Shen
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Applications of wavelets in morphometric analysis of medical images
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2003
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Christos Davatzikos
Xiaodong Tao
Dinggang Shen
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A 3D model of quasi-static brain mechanics: application to tumor-bearing image registration
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2003
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S.K. Kyriacou
Christos Davatzikos
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Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain
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2002
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Xiaodong Tao
Jerry L. Prince
Christos Davatzikos
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Morphometric Analysis of Cortical Sulci Using Parametric Ribbons: A Study of the Central Sulcus
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2002
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Christos Davatzikos
R. Nick Bryan
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Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model
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2002
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Dinggang Shen
Scott D. Moffat
Susan M. Resnick
Christos Davatzikos
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Statistical Study on Cortical Sulci of Human Brains
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2001
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Xiaodong Tao
Xiao Han
Maryam E. Rettmann
Jerry L. Prince
Christos Davatzikos
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Measuring biological shape using geometry-based shape transformations
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2001
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Christos Davatzikos
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Statistical atlases
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2001
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Christos Davatzikos
Ragini Verma
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Computational Neuroanatomy Using Shape Transformations
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2000
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Christos Davatzikos
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A Probabilistic Ribbon Model for Shape Analysis of the Cerebral Sulci
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1998
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Anne Manceaux-Demiau
R. Nick Bryan
Christos Davatzikos
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Mapping image data to stereotaxic spaces: Applications to brain mapping
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1998
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Christos Davatzikos
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Mapping the cerebral sulci: Application to morphological analysis of the cortex and to non-rigid registration
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1997
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Marc Vaillant
Christos Davatzikos
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Morphological analysis of brain structures using spatial normalization
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1996
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Christos Davatzikos
Marc Le Vaillant
Sandra G. Resnick
Jerry L. Prince
Stanley Letovsky
R. Nick Bryan
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A Computerized Approach for Morphological Analysis of the Corpus Callosum
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1996
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Christos Davatzikos
Marc Vaillant
Susan M. Resnick
Jerry L. Prince
Stanley Letovsky
R. Nick Bryan
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