Search Results - "Fadnavis, Shreyas"
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QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
Published in Nature methods (01-07-2021)“…Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively studying the organization of white matter in the human brain. Here…”
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Journal Article -
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Multi-scale V-net architecture with deep feature CRF layers for brain extraction
Published in Communications medicine (23-02-2024)“…Background Brain extraction is a computational necessity for researchers using brain imaging data. However, the complex structure of the interfaces between the…”
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3
Optimal partitioning methods for image segmentation
Published in Journal of engineering (Stevenage, England) (01-11-2015)“…The importance of image processing is increasing in the digitally connected world due to its numerous applications in various fields of medical science,…”
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Denoising of diffusion MRI in the cervical spinal cord – effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity
Published in NeuroImage (Orlando, Fla.) (01-02-2023)“…•We extend use of three denoising algorithms to cervical spinal cord DTI data.•Marchenko-Pastur PCA and Patch2Self improve image quality for visual and…”
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Bifurcated Topological Optimization for IVIM
Published in Frontiers in neuroscience (15-12-2021)“…In this work, we shed light on the issue of estimating Intravoxel Incoherent Motion (IVIM) for diffusion and perfusion estimation by characterizing the…”
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6
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography
Published in Neuroinformatics (Totowa, N.J.) (01-07-2021)“…Brain atlases have proven to be valuable neuroscience tools for localizing regions of interest and performing statistical inferences on populations. Although…”
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Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI
Published in Frontiers in radiology (2024)“…Data collection, curation, and cleaning constitute a crucial phase in Machine Learning (ML) projects. In biomedical ML, it is often desirable to leverage…”
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Segmentation of the brain using direction-averaged signal of DWI images
Published in Magnetic resonance imaging (01-06-2020)“…Segmentation of brain tissue in diffusion MRI image space has some unique advantages. A novel segmentation method using the direction-averaged diffusion…”
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Learning Representations of Diffusion Magnetic Resonance Images
Published 01-01-2022“…The thesis proposes novel representation learning methods using self-supervised learning, topological optimization and multi-view learning. The methods and…”
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Dissertation -
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754 ARGES: AN AI-CENTRIC TOOLBOX FOR IBD CLINICAL TRIAL RESEARCH AND DEVELOPMENT
Published in Gastroenterology (New York, N.Y. 1943) (18-05-2024)Get full text
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On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge
Published in NeuroImage (Orlando, Fla.) (15-10-2021)“…Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on the specific acquisition settings,…”
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12
QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI
Published in Nature methods (21-06-2021)“…Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively studying the organization of white matter in the human brain. Here…”
Get full text
Journal Article -
13
Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16-06-2024)“…Diffusion MRI (dMRI) non-invasively maps brain white matter, yet necessitates denoising due to low signal-to-noise ratios. Patch2Self (P2S), employing…”
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Conference Proceeding -
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EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
Published 06-06-2022“…Brain extraction is one of the first steps of pre-processing 3D brain MRI data and a prerequisite for any forthcoming brain imaging analyses. However, it is…”
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Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Published 02-11-2020“…Thirty-fourth Conference on Neural Information Processing Systems, 2020 Diffusion-weighted magnetic resonance imaging (DWI) is the only noninvasive method for…”
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NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification
Published 03-03-2022“…Diffusion MRI (dMRI) is the only non-invasive technique sensitive to tissue micro-architecture, which can, in turn, be used to reconstruct tissue…”
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Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
Published 01-10-2024“…Accurate assessment of disease severity from endoscopy videos in ulcerative colitis (UC) is crucial for evaluating drug efficacy in clinical trials. Severity…”
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PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
Published 14-09-2022“…Chronic pain is a pervasive disorder which is often very disabling and is associated with comorbidities such as depression and anxiety. Neuropathic Pain (NP)…”
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ThetA -- fast and robust clustering via a distance parameter
Published 13-02-2021“…Clustering is a fundamental problem in machine learning where distance-based approaches have dominated the field for many decades. This set of problems is…”
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Journal Article -
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Fitting IVIM with Variable Projection and Simplicial Optimization
Published 27-09-2019“…Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities. In this work, we introduce a…”
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Journal Article