Christos Davatzikos | DeepAI

AI Chat

Featured Co-authors

Dacheng Tao
495 publications
Wei Chen
332 publications
Chang Liu
231 publications
Sharky.TV
230 publications
Daniel Rueckert
199 publications
Qian Wang
147 publications
Yu Sun
127 publications
Yefeng Zheng
117 publications
Kurt Keutzer
112 publications
Kun Zhang
106 publications
Xu Han
93 publications

∙ 08/06/2023

Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience

Machine learning (ML) has shown great promise for revolutionizing a numb...

0 Rongguang Wang, et al. ∙

∙ 05/15/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

Automated brain tumor segmentation methods are well established, reachin...

0 Hongwei Bran Li, et al. ∙

∙ 05/15/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting

A myriad of algorithms for the automatic analysis of brain MR images is ...

0 Florian Kofler, et al. ∙

∙ 09/27/2022

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI

Deep learning has been demonstrated effective in many neuroimaging appli...

0 Tanweer Rashid, et al. ∙

∙ 05/26/2022

Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies

Despite the great promise that machine learning has offered in many fiel...

0 Rongguang Wang, et al. ∙

∙ 02/22/2022

Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study

Many supervised machine learning frameworks have been proposed for disea...

0 Dushyant Sahoo, et al. ∙

∙ 12/13/2021

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients

Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scan...

0 Bhakti Baheti, et al. ∙

∙ 09/08/2021

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning

Neuroimaging biomarkers that distinguish between typical brain aging and...

0 Gyujoon Hwang, et al. ∙

∙ 07/05/2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

The BraTS 2021 challenge celebrates its 10th anniversary and is jointly ...

0 Ujjwal Baid, et al. ∙

∙ 06/12/2021

Harmonization with Flow-based Causal Inference

Heterogeneity in medical data, e.g., from data collected at different si...

0 Rongguang Wang, et al. ∙

∙ 06/10/2021

Ensemble inversion for brain tumor growth models with mass effect

We propose a method for extracting physics-based biomarkers from a singl...

0 Shashank Subramanian, et al. ∙

∙ 05/13/2021

Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies

Resting-state fMRI has been shown to provide surrogate biomarkers for th...

0 Dushyant Sahoo, et al. ∙

∙ 05/12/2021

The Federated Tumor Segmentation (FeTS) Challenge

This manuscript describes the first challenge on Federated Learning, nam...

18 Sarthak Pati, et al. ∙

∙ 04/20/2021

Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning

The estimation of sparse hierarchical components reflecting patterns of ...

0 Dushyant Sahoo, et al. ∙

∙ 03/23/2021

Embracing the Disharmony in Heterogeneous Medical Data

Heterogeneity in medical imaging data is often tackled, in the context o...

0 Rongguang Wang, et al. ∙

∙ 10/11/2020

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging

Conventional and deep learning-based methods have shown great potential ...

0 Vishnu M. Bashyam, et al. ∙

∙ 08/17/2020

A Deep Network for Joint Registration and Reconstruction of Images with Pathologies

Registration of images with pathologies is challenging due to tissue app...

0 Xu Han, et al. ∙

∙ 02/09/2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...

0 Razvan V. Marinescu, et al. ∙

∙ 07/03/2019

DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images

Segmentation has been a major task in neuroimaging. A large number of au...

9 Jimit Doshi, et al. ∙

∙ 06/19/2019

Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI

The study of hierarchy in networks of the human brain has been of signif...

0 Dushyant Sahoo, et al. ∙

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

∙ 08/13/2018

CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

We introduce CLAIRE, a distributed-memory algorithm and software for sol...

0 Andreas Mang, et al. ∙

∙ 07/02/2018

Generative discriminative models for multivariate inference and statistical mapping in medical imaging

This paper presents a general framework for obtaining interpretable mult...

0 Erdem Varol, et al. ∙

∙ 02/28/2018

PDE-constrained optimization in medical image analysis

PDE-constrained optimization problems find many applications in medical ...

0 Andreas Mang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world