Top Computer Vision papers

Find all the TopComputer Vision papers. Links to pdf, code repos and demos are provided.

•

about 2 years ago

Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases

Madigan L. Bedard, Ricardo Insausti, Marianna Gabrielyan + 34 more

Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automate...
see more

Computer Vision

over 2 years ago

Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation

Ricardo Insausti, Marianna Gabrielyan, Sandhitsu R. Das + 29 more

When developing tools for automated cortical segmentation, the ability to produce topologically correct segmentations is important in order to compute...
see more

Computer Vision

over 3 years ago

Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres

Marianna Gabrielyan, Madigan L. Bedard, Ricardo Insausti + 30 more

Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI for visualizing and characterizing detailed neuroanatomy. However, automated ...
see more

Computer Vision

about 4 years ago

Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Losses

Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka + 4 more

Intravascular ultrasound and optical coherence tomography are widely available for characterizing coronary stenoses and provide critical vessel parame...
see more

Computer Vision

12 months ago

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Xin Yu, Qi Yang, Han Liu + 10 more

2D single-slice abdominal computed tomography (CT) enables the assessment of body habitus and organ health with low radiation exposure. However, singl...
see more

Computer Vision

over 1 year ago

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization

Xin Yu, Qi Yang, Yucheng Tang + 8 more

Two-dimensional single-slice abdominal computed tomography (CT) provides a detailed tissue map with high resolution allowing quantitative characteriza...
see more

Computer Vision

over 6 years ago

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran + 7 more

Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast...
see more

Computer Vision

over 2 years ago

Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation

Xin Yu, Yucheng Tang, Qi Yang + 6 more

Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composi...
see more

Computer Vision

over 2 years ago

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Leon Y. Cai, Xin Yu, Qi Yang + 8 more

2D low-dose single-slice abdominal computed tomography (CT) slice enables direct measurements of body composition, which are critical to quantitativel...
see more

#10

Computer Vision

over 4 years ago

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans

Fatih Altay, Guillermo Ramon Sanchez, Yanli James + 3 more

Alzheimer's disease is one of the diseases that mostly affects older people without being a part of aging. The most common symptoms include problems w...
see more

#11

Computer Vision

over 8 years ago

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

James H. Cole, Dimosthenis Tsagkrasoulis, Tim D Spector + 4 more

Investigates the efficacy of deep learning, specifically convolutional neural networks (CNN), in predicting brain age from T1-weighted MRI data. It es...
see more

#12

Language

Computer Vision

3 months ago

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Lovish Madaan, Yoram Bachrach, Nikolay Bashlykov + 4 more

MLGym is a novel framework and benchmark designed to evaluate and develop large language model (LLM) agents on diverse AI research tasks, providing a ...
see more

Loading. Please wait...

Top Computer Vision papers

Find all the TopComputer Vision papers. Links to pdf, code repos and demos are provided.

•

Computer Vision

about 2 years ago

Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases

Madigan L. Bedard, Ricardo Insausti, Marianna Gabrielyan + 34 more

Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automate...
see more

Computer Vision

over 2 years ago

Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation

Ricardo Insausti, Marianna Gabrielyan, Sandhitsu R. Das + 29 more

When developing tools for automated cortical segmentation, the ability to produce topologically correct segmentations is important in order to compute...
see more

Computer Vision

over 3 years ago

Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres

Marianna Gabrielyan, Madigan L. Bedard, Ricardo Insausti + 30 more

Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI for visualizing and characterizing detailed neuroanatomy. However, automated ...
see more

Computer Vision

about 4 years ago

Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Losses

Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka + 4 more

Intravascular ultrasound and optical coherence tomography are widely available for characterizing coronary stenoses and provide critical vessel parame...
see more

Computer Vision

12 months ago

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Xin Yu, Qi Yang, Han Liu + 10 more

2D single-slice abdominal computed tomography (CT) enables the assessment of body habitus and organ health with low radiation exposure. However, singl...
see more

Computer Vision

over 1 year ago

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization

Xin Yu, Qi Yang, Yucheng Tang + 8 more

Two-dimensional single-slice abdominal computed tomography (CT) provides a detailed tissue map with high resolution allowing quantitative characteriza...
see more

Computer Vision

over 6 years ago

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran + 7 more

Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast...
see more

Computer Vision

over 2 years ago

Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation

Xin Yu, Yucheng Tang, Qi Yang + 6 more

Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composi...
see more

Computer Vision

over 2 years ago

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Leon Y. Cai, Xin Yu, Qi Yang + 8 more

2D low-dose single-slice abdominal computed tomography (CT) slice enables direct measurements of body composition, which are critical to quantitativel...
see more

#10

Computer Vision

over 4 years ago

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans

Fatih Altay, Guillermo Ramon Sanchez, Yanli James + 3 more

Alzheimer's disease is one of the diseases that mostly affects older people without being a part of aging. The most common symptoms include problems w...
see more

#11

Computer Vision

over 8 years ago

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

James H. Cole, Dimosthenis Tsagkrasoulis, Tim D Spector + 4 more

Investigates the efficacy of deep learning, specifically convolutional neural networks (CNN), in predicting brain age from T1-weighted MRI data. It es...
see more

#12

Language

Computer Vision

3 months ago

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Lovish Madaan, Yoram Bachrach, Nikolay Bashlykov + 4 more

MLGym is a novel framework and benchmark designed to evaluate and develop large language model (LLM) agents on diverse AI research tasks, providing a ...
see more