Aaron Carass

发表

Atlas Based Intensity Transformation of Brain MR Images

Snehashis Roy, Amod Jog, Aaron Carass, 2013, MBIA.

Adversarial domain adaptation for multi-device retinal OCT segmentation

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2020, Medical Imaging: Image Processing.

Topology preserving automatic segmentation of the spinal cord in magnetic resonance images

Aaron Carass, Jerry L. Prince, Min Chen, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Consistent segmentation using a Rician classifier

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2012, Medical Image Anal..

Consistent cortical reconstruction and multi-atlas brain segmentation

Aaron Carass, Jerry L. Prince, Yuankai Huo, 2016, NeuroImage.

Collaborative SDOCT segmentation and analysis software

Aaron Carass, Jerry L Prince, Yeyi Yun, 2017, Medical Imaging.

Improving graph-based OCT segmentation for severe pathology in retinitis pigmentosa patients

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2017, Medical Imaging.

Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation

Peter A. Calabresi, Snehashis Roy, Aaron Carass, 2017, BrainLes@MICCAI.

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN

Aaron Carass, Jerry L. Prince, Jian Sun, 2018, DLMIA/ML-CDS@MICCAI.

A framework on surface-based connectivity quantification for the human brain

Aaron Carass, Jerry L. Prince, Virendra Mishra, 2011, Journal of Neuroscience Methods.

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients

Xiang Li, Snehashis Roy, Aaron Carass, 2017, Patch-MI@MICCAI.

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks

Xiang Li, Aaron Carass, Jerry L. Prince, 2018, MLCN/DLF/iMIMIC@MICCAI.

Synthesizing Realistic Brain MR Images with Noise Control

Aaron Carass, Jerry L. Prince, Yufan He, 2020, SASHIMI@MICCAI.

Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors

Aaron Carass, Jerry L. Prince, Shuo Han, 2020, MLMI@MICCAI.

Cross contrast multi‐channel image registration using image synthesis for MR brain images

Snehashis Roy, Amod Jog, Aaron Carass, 2017, Medical Image Anal..

Automatically identifying white matter tracts using cortical labels

Aaron Carass, Jerry L. Prince, Bennett A. Landman, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Longitudinal graph-based segmentation of macular OCT using fundus alignment

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2015, Medical Imaging.

Evaluating the Impact of Intensity Normalization on MR Image Synthesis

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2018, Medical Imaging: Image Processing.

Using image synthesis for multi-channel registration of different image modalities

Aaron Carass, Jerry L. Prince, Min Chen, 2015, Medical Imaging.

Hierarchical Parcellation of the Cerebellum

Aaron Carass, Jerry L. Prince, Shuo Han, 2019, MICCAI.

Pulse sequence based multi-acquisition MR intensity normalization

Snehashis Roy, Amod Jog, Aaron Carass, 2013, Medical Imaging.

Improving magnetic resonance resolution with supervised learning

Amod Jog, Aaron Carass, Jerry L. Prince, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Voxel based morphometry in optical coherence tomography: validation and core findings

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Improving self super resolution in magnetic resonance images

Amod Jog, Aaron Carass, Jerry L. Prince, 2018, Medical Imaging.

Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2017, FIFI/OMIA@MICCAI.

Why rankings of biomedical image analysis competitions should be interpreted with care

Alejandro F. Frangi, Peter F. Neher, Aaron Carass, 2018, Nature Communications.

Falx Cerebri Segmentation via Multi-atlas Boundary Fusion

Aaron Carass, Jerry L. Prince, Dzung L. Pham, 2017, MICCAI.

Fully Convolutional Boundary Regression for Retina OCT Segmentation

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2019, MICCAI.

Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles

Aaron Carass, Jerry L. Prince, Ke Li, 2016, SPIE Medical Imaging.

Segmentation of thalamus from MR images via task-driven dictionary learning

Aaron Carass, Jerry L. Prince, Trac D. Tran, 2016, SPIE Medical Imaging.

Automated anatomical labeling of the cerebral arteries using belief propagation

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2013, Medical Imaging.

Multi-output decision trees for lesion segmentation in multiple sclerosis

Amod Jog, Aaron Carass, Jerry L. Prince, 2015, Medical Imaging.

Finding novelty with uncertainty

Aaron Carass, Jerry L. Prince, Yufan He, 2020, Medical Imaging: Image Processing.

Segmentation of microcystic macular edema in Cirrus OCT scans with an exploratory longitudinal study

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2015, Medical Imaging.

DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

Aaron Carass, Shiv Saidha, Jerry L Prince, 2019, Magnetic resonance imaging.

Intensity inhomogeneity correction of magnetic resonance images using patches

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2011, Medical Imaging.

Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2018, Medical Imaging.

Simple paradigm for extra-cerebral tissue removal: Algorithm and analysis

Aaron Carass, Jerry L. Prince, Jennifer L. Cuzzocreo, 2011, NeuroImage.

Automated reliable labeling of the cortical surface

Aaron Carass, Jerry L. Prince, Susan M. Resnick, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

MR image synthesis by contrast learning on neighborhood ensembles

Snehashis Roy, Amod Jog, Aaron Carass, 2015, Medical Image Anal..

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks pdf

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, ArXiv.

Longitudinal analysis of regional cerebellum volumes during normal aging

Aaron Carass, Jerry L. Prince, Susan M. Resnick, 2020, NeuroImage.

Simultaneous segmentation of retinal surfaces and microcystic macular edema in SDOCT volumes

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

MR to CT registration of brains using image synthesis

Snehashis Roy, Amod Jog, Aaron Carass, 2014, Medical Imaging.

System for Integrated Neuroimaging Analysis and Processing of Structure

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2012, Neuroinformatics.

Intensity inhomogeneity correction of SD‐OCT data using macular flatspace

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, Medical Image Anal..

Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification

Aaron Carass, Jerry L. Prince, Joshua V. Stough, 2014, MICCAI.

Layer boundary evolution method for macular OCT layer segmentation.

Aaron Carass, Yufan He, Yihao Liu, 2019, Biomedical optics express.

Longitudinal analysis of mouse SDOCT volumes

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2017, Medical Imaging.

An adaptive grid for graph-based segmentation in retinal OCT

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2014, Medical Imaging.

Cross-Platform Comparison of Retinal Neuronal Layers in Multiple Sclerosis Utilizing a Novel Open-Source Optical Coherence Tomography Automated Segmentation Algorithm (P2.256)

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2014 .

Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN

Aaron Carass, Zongben Xu, Jian Sun, 2020, IEEE Transactions on Medical Imaging.

Simultaneous cortical surface labeling and sulcal curve extraction

Aaron Carass, Jerry L. Prince, Chen Chen, 2012, Medical Imaging.

Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease

Aaron Carass, Jerry L. Prince, Chuyang Ye, 2016, NeuroImage.

Deformable model reconstruction of the subarachnoid space

Xiang Li, Snehashis Roy, Aaron Carass, 2018, Medical Imaging.

A Compressed Sensing Approach for MR Tissue Contrast Synthesis

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2011, IPMI.

Applications of a deep learning method for anti-aliasing and super-resolution in MRI.

Aaron Carass, Jonghye Woo, Maureen Stone, 2019, Magnetic resonance imaging.

A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis

Amod Jog, Aaron Carass, Jerry L. Prince, 2017, SASHIMI@MICCAI.

Example based lesion segmentation

Snehashis Roy, Amod Jog, Aaron Carass, 2014, Medical Imaging.

Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation

Aaron Carass, Jerry L. Prince, Shuo Han, 2020, Medical Imaging: Image Processing.

Automatic estimation of midsagittal plane and AC-PC alignment on nonrigid registration

Aaron Carass, Jerry L. Prince, Pierre-Louis Bazin, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Validating Uncertainty in Medical Image Translation

Aaron Carass, Jerry L. Prince, Yufan He, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, Data in brief.

Effects of spatial resolution on image registration

Amod Jog, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, Medical Imaging.

Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2020, Medical Imaging: Image Processing.

Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, SASHIMI@MICCAI.

Deformation field correction for spatial normalization of PET images

Aaron Carass, Jerry L. Prince, Susan M. Resnick, 2015, NeuroImage.

Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohort

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2017, NeuroImage.

Self super-resolution for magnetic resonance images using deep networks

Aaron Carass, Jerry L. Prince, Can Zhao, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Multi-layer fast level set segmentation for macular OCT

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Patch based intensity normalization of brain MR images

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT.

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2019, Biomedical optics express.

Microcystic macular edema detection in retina OCT images

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2014, Medical Imaging.

Efficient multi-atlas registration using an intermediate template image

Aaron Carass, Jerry L. Prince, Ari M. Blitz, 2017, Medical Imaging.

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Snehashis Roy, Amod Jog, Aaron Carass, 2017, NeuroImage.

Voxel-wise displacement as independent features in classification of multiple sclerosis

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2013, Medical Imaging.

Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis pdf

Aaron Carass, Jerry L. Prince, Xiaofeng Liu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Compressed sensing based intensity non-uniformity correction

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Thalamus parcellation using multi-modal feature classification and thalamic nuclei priors

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Topology preserving brain tissue segmentation using graph cuts

Aaron Carass, Jerry L. Prince, Pierre-Louis Bazin, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2018, MICCAI.

Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2015, MLMI.

Magnetic resonance image synthesis through patch regression

Snehashis Roy, Amod Jog, Aaron Carass, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

Peter A. Calabresi, Snehashis Roy, Aaron Carass, 2020, Scientific Reports.

Automatic sulcal curve extraction with MRF based shape prior

Aaron Carass, Jerry L. Prince, Zhen Yang, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Automatic quality control using hierarchical shape analysis for cerebellum parcellation

Aaron Carass, Jerry L. Prince, Shuo Han, 2019, Medical Imaging: Image Processing.

Tree-Encoded Conditional Random Fields for Image Synthesis

Amod Jog, Aaron Carass, Jerry L. Prince, 2015, IPMI.

Cerebellum parcellation with convolutional neural networks

Aaron Carass, Jerry L. Prince, Yufan He, 2019, Medical Imaging: Image Processing.

Combining multi-atlas segmentation with brain surface estimation

Aaron Carass, Jerry L. Prince, Yuankai Huo, 2016, SPIE Medical Imaging.

Image synthesis and superresolution in medical imaging

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2020 .

MR contrast synthesis for lesion segmentation

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Inverse biomechanical modeling of the tongue via machine learning and synthetic training data

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2018, Medical Imaging.

Self domain adapted network pdf

Aaron Carass, Jerry L. Prince, Yufan He, 2020, MICCAI.

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2016, SPIE Medical Imaging.

Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI

Amod Jog, Aaron Carass, Jerry L. Prince, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2014, MLMI.

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions pdf

Alejandro F. Frangi, Peter F. Neher, Klaus H. Maier-Hein, 2018, ArXiv.

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Amir Alansary, Aaron Carass, Marcel Breeuwer, 2015, Comput. Intell. Neurosci..

Longitudinal intensity normalization in the presence of multiple sclerosis lesions

Peter A. Calabresi, Snehashis Roy, Aaron Carass, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2018, Nature Communications.

Deformable registration of macular oct using a-mode scan similarity

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view

Aaron Carass, Jerry L. Prince, Min Chen, 2013, NeuroImage.

A Disentangled Latent Space for Cross-Site MRI Harmonization

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2020, MICCAI.

Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning

Amod Jog, Aaron Carass, Jerry L. Prince, 2017, Medical Imaging.

Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images

Aaron Carass, Jerry L. Prince, Can Zhao, 2017, MLMI@MICCAI.

Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation

Aaron Carass, Jerry L. Prince, Shuo Han, 2018, Medical Imaging.

Distance transforms in multi channel MR image registration

Aaron Carass, Jerry L. Prince, Min Chen, 2011, Medical Imaging.

A Rician mixture model classification algorithm for magnetic resonance images

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Covariance shrinking in active shape models with application to gyral labeling of the cerebral cortex

Aaron Carass, Jerry L. Prince, Zhen Yang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Fuzzy c-means with variable compactness

Ying Bai, Snehashis Roy, Aaron Carass, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Structured layer surface segmentation for retina OCT using fully convolutional regression networks

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2020, Medical Image Anal..

Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization

Aaron Carass, Jerry L. Prince, Yufan He, 2020, NeuroImage.

Synthesizing MR contrast and resolution through a patch matching technique

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2010, Medical Imaging.

A JOINT REGISTRATION AND SEGMENTATION APPROACH TO SKULL STRIPPING

Aaron Carass, Jerry L. Prince, Jennifer L. Cuzzocreo, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Self Super-Resolution for Magnetic Resonance Images

Amod Jog, Aaron Carass, Jerry L. Prince, 2016, MICCAI.

Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model

Aaron Carass, Jerry L. Prince, Susan M. Resnick, 2014, MLMI.

Random forest regression for magnetic resonance image synthesis

Snehashis Roy, Amod Jog, Aaron Carass, 2017, Medical Image Anal..

Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2014, MLMI.

Interfaces and integration of medical image analysis frameworks: Challenges and opportunities

Aaron Carass, Min Chen, Bennett A. Landman, 2010, 2010 Biomedical Sciences and Engineering Conference.

A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging

Aaron Carass, Jerry L. Prince, Chuyang Ye, 2014, BAMBI.

Multiple-object geometric deformable model for segmentation of macular OCT.

Aaron Carass, Jerry L Prince, Andrew Lang, 2014, Biomedical optics express.

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

Benjamin Thyreau, D. Louis Collins, Aaron Carass, 2018, NeuroImage.

Automatic cell segmentation in fluorescence images of confluent cell monolayers using multi-object geometric deformable model

Aaron Carass, Jerry L. Prince, Mao Ye, 2013, Medical Imaging.

Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images

Aaron Carass, Jerry L. Prince, Dzung L. Pham, 2017, Medical Imaging.

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction

Aaron Carass, Jerry L. Prince, Sayed Mazdak Abulnaga, 2016, SPIE Medical Imaging.

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2019, Nature Communications.

Longitudinal intensity normalization of magnetic resonance images using patches

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2013, Medical Imaging.

Appreciation to Journal of Mathematical Imaging and Vision Reviewers

Martin Burger, Isabelle Bloch, Aaron Carass, 2016, Journal of Mathematical Imaging and Vision.

Projection Artifact Suppression For Inner Retina In Oct Angiography

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Combined registration and motion correction of longitudinal retinal OCT data

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Longitudinal changes in cortical thickness associated with normal aging

Aaron Carass, Jerry L. Prince, Yang An, 2010, NeuroImage.

Segmenting retinal OCT images with inter-B-scan and longitudinal information

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2020, Medical Imaging: Image Processing.

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2015, IEEE Journal of Biomedical and Health Informatics.

Segmentation of retinal OCT images using a random forest classifier

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2013, Medical Imaging.

Magnetic Resonance Image Example-Based Contrast Synthesis

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2013, IEEE Transactions on Medical Imaging.

Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software

Aaron Carass, Jerry L. Prince, Pierre-Louis Bazin, 2010, Neuroinformatics.

Joint Image and Label Self-super-Resolution

Aaron Carass, Jerry L. Prince, Dzung L. Pham, 2021, SASHIMI@MICCAI.

Information-based Disentangled Representation Learning for Unsupervised MR Harmonization

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2021, IPMI.

Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory

Aaron Carass, Jerry L. Prince, Yihao Liu, 2021, NeuroImage.

Thalamus segmentation using convolutional neural networks

Aaron Carass, Jerry L. Prince, Shuo Han, 2021 .

Direct Reconstruction of Crossing Muscle Fibers in the Human Tongue Using a Deep Neural Network

Aaron Carass, Jerry L. Prince, Maureen Stone, 2021, Computational Diffusion MRI.

Dynamic palatogram generation from Cine MRI for normalized speech assessment

Aaron Carass, Jerry L. Prince, Muhan Shao, 2021, Medical Imaging.

Reconstruction and refinement of crossing muscle fibers in the human tongue

Aaron Carass, Jerry L. Prince, Maureen Stone, 2021, Medical Imaging.

Data-driven Uncertainty Quantification in Computational Human Head Models

Aaron Carass, K. T. Ramesh, Curtis L. Johnson, 2021 .

Autoencoder based self-supervised test-time adaptation for medical image analysis

Aaron Carass, Jerry L Prince, Lianrui Zuo, 2021, Medical Image Anal..

Accurate estimation of total intracranial volume in MRI using a multi-tasked image-to-image translation network

Aaron Carass, Jerry L. Prince, Shangxian Wang, 2021, Medical Imaging.

A Structural Causal Model for MR Images of Multiple Sclerosis

Aaron Carass, Jerry L. Prince, Jacob C. Reinhold, 2021, MICCAI.

Label super resolution for 3D magnetic resonance images using deformable U-net

Aaron Carass, Jerry L. Prince, Ran Tao, 2021, Medical Imaging.

Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

MR Slice Profile Estimation by Learning to Match Internal Patch Distributions

Aaron Carass, Jerry L. Prince, Shuo Han, 2021, IPMI.

Automated Cerebellar Lobule Segmentation using Graph Cuts

Aaron Carass, Jerry L. Prince, Chuyang Ye, 2014 .

Longitudinal multiple sclerosis lesion segmentation data resource

Peter A. Calabresi, Snehashis Roy, Amod Jog, 2017, Data in brief.

Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2017, PloS one.

Temporal filtering of longitudinal brain magnetic resonance images for consistent segmentation

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2016, NeuroImage: Clinical.

Brain metabolite alterations and cognitive dysfunction in early Huntington's disease

Aaron Carass, Xin Wang, Peter B Barker, 2012, Movement disorders : official journal of the Movement Disorder Society.

Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly

Aaron Carass, Jerry L. Prince, Shuo Han, 2019, NeuroImage: Clinical.

Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization

Aaron Carass, Jerry L. Prince, Shuo Han, 2020, NeuroImage.

MR Brain Segmentation using Decision Trees

Snehashis Roy, Amod Jog, Aaron Carass, 2013, The MIDAS Journal.