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Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

25 April 2019
Adrian V. Dalca
Evan M. Yu
Polina Golland
Bruce Fischl
M. Sabuncu
Juan Eugenio Iglesias
    OOD
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Papers citing "Unsupervised Deep Learning for Bayesian Brain MRI Segmentation"

29 / 29 papers shown
Title
Combining Radiomics and Machine Learning Approaches for Objective ASD
  Diagnosis: Verifying White Matter Associations with ASD
Combining Radiomics and Machine Learning Approaches for Objective ASD Diagnosis: Verifying White Matter Associations with ASD
Junlin Song
Yuzhuo Chen
Yuan Yao
Zetong Chen
Renhao Guo
...
Xinyi Sui
Qihang Wang
Xijiao Li
Aihua Cao
Wei Li
AI4CE
22
0
0
25 May 2024
Diffeomorphic Multi-Resolution Deep Learning Registration for
  Applications in Breast MRI
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI
M. French
G. M. Talou
T. B. Gamage
M. P. Nash
P. Nielsen
A. J. Doyle
Juan Eugenio Iglesias
Yael Balbastre
Sean I. Young
MedIm
29
1
0
24 Sep 2023
Neuralizer: General Neuroimage Analysis without Re-Training
Neuralizer: General Neuroimage Analysis without Re-Training
Steffen Czolbe
H. Dickinson
OOD
38
12
0
04 May 2023
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic
  Segmentation
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation
Haoyu Ma
Xiangru Lin
Yizhou Yu
139
14
0
03 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for
  Data Deluge
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
OOD
LM&MA
FedML
26
2
0
23 Dec 2022
Secure & Private Federated Neuroimaging
Secure & Private Federated Neuroimaging
Dimitris Stripelis
Umang Gupta
Hamza Saleem
Nikhil J. Dhinagar
Tanmay Ghai
...
Greg Ver Steeg
Srivatsan Ravi
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
OOD
19
2
0
11 May 2022
Deep Learning for Medical Image Registration: A Comprehensive Review
Deep Learning for Medical Image Registration: A Comprehensive Review
Subrato Bharati
M. Rubaiyat Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
MedIm
13
27
0
24 Apr 2022
Learning the Effect of Registration Hyperparameters with HyperMorph
Learning the Effect of Registration Hyperparameters with HyperMorph
Andrew Hoopes
Malte Hoffmann
Douglas N. Greve
Bruce Fischl
John Guttag
Adrian V. Dalca
28
38
0
30 Mar 2022
Segmentation of 2D Brain MR Images
Segmentation of 2D Brain MR Images
A. R. Bajwa
3DV
11
0
0
05 Nov 2021
Self-Supervised Generative Style Transfer for One-Shot Medical Image
  Segmentation
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
Devavrat Tomar
Behzad Bozorgtabar
M. Lortkipanidze
Guillaume Vray
Mohammad Saeed Rad
Jean-Philippe Thiran
17
19
0
05 Oct 2021
Re-using Adversarial Mask Discriminators for Test-time Training under
  Distribution Shifts
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
18
6
0
26 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
30
8
0
26 Aug 2021
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Udaranga Wickramasinghe
Patrick M. Jensen
Mian Akbar Shah
Jiancheng Yang
Pascal Fua
3DPC
21
6
0
07 Jun 2021
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus
  Disease
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease
Abbas Raza Ali
M. Budka
13
5
0
29 Apr 2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using
  Anatomical Correlation
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Hong-Yu Zhou
Hualuo Liu
Shilei Cao
Dong Wei
Chi-Ken Lu
Yizhou Yu
Kai Ma
Yefeng Zheng
11
7
0
30 Mar 2021
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric
  Alignment and Category-Center Regularization
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
Haoyu Ma
Xiangru Lin
Zifeng Wu
Yizhou Yu
9
70
0
24 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
23
53
0
09 Mar 2021
Self-Supervised Longitudinal Neighbourhood Embedding
Self-Supervised Longitudinal Neighbourhood Embedding
J. Ouyang
Qingyu Zhao
Ehsan Adeli
E. Sullivan
A. Pfefferbaum
Greg Zaharchuk
K. Pohl
16
19
0
05 Mar 2021
Learning to Predict with Supporting Evidence: Applications to Clinical
  Risk Prediction
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
Aniruddh Raghu
John Guttag
K. Young
E. Pomerantsev
Adrian V. Dalca
Collin M. Stultz
9
9
0
04 Mar 2021
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with
  Image-and-Spatial Transformer Networks
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
Matthew Sinclair
A. Schuh
K. Hahn
K. Petersen
Ying Bai
James Batten
M. Schaap
Ben Glocker
19
29
0
18 Dec 2020
Contrastive Registration for Unsupervised Medical Image Segmentation
Contrastive Registration for Unsupervised Medical Image Segmentation
Lihao Liu
Angelica I Aviles-Rivero
Carola-Bibiane Schönlieb
19
37
0
17 Nov 2020
MvMM-RegNet: A new image registration framework based on multivariate
  mixture model and neural network estimation
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
Xinzhe Luo
Xiahai Zhuang
13
17
0
28 Jun 2020
An Auto-Encoder Strategy for Adaptive Image Segmentation
An Auto-Encoder Strategy for Adaptive Image Segmentation
Evan M. Yu
Juan Eugenio Iglesias
Adrian V. Dalca
M. Sabuncu
15
13
0
29 Apr 2020
Partial Volume Segmentation of Brain MRI Scans of any Resolution and
  Contrast
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast
Benjamin Billot
Eleanor D. Robinson
Adrian V. Dalca
Juan Eugenio Iglesias
16
35
0
21 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
OOD
13
162
0
09 Apr 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot
Douglas N. Greve
Koen van Leemput
Bruce Fischl
Juan Eugenio Iglesias
Adrian V. Dalca
13
76
0
04 Mar 2020
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
23
42
0
28 Nov 2019
A Tool for Super-Resolving Multimodal Clinical MRI
A Tool for Super-Resolving Multimodal Clinical MRI
Mikael Brudfors
Yael Balbastre
P. Nachev
John Ashburner
11
11
0
03 Sep 2019
Learning a Probabilistic Model for Diffeomorphic Registration
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs
H. Delingette
B. Mailhé
N. Ayache
Tommaso Mansi
DiffM
MedIm
25
192
0
18 Dec 2018
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