Joohi Chauhan
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View article: Geometric Characterization of Pediatric Multiple Sclerosis Lesion Morphology: A Cross-Sectional and Temporal Analysis using Differential Geometry
Geometric Characterization of Pediatric Multiple Sclerosis Lesion Morphology: A Cross-Sectional and Temporal Analysis using Differential Geometry Open
Pediatric-onset multiple sclerosis (POMS) involves aggressive inflammation and large lesions; however, its detailed shapes and structures remain poorly understood. Traditional volumetric metrics often overlook the complex geometry of these…
View article: Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects Open
Medical image analysis has witnessed remarkable advancements, even surpassing human-level performance in recent years, driven by the rapid development of advanced deep-learning algorithms. However, when the inference dataset slightly diffe…
View article: A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues
A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues Open
Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although multiple studies have been published, there is no one universal standard criteria for the neuropathological assessment of cerebrovascular di…
View article: Automating Microinfarct Screening in Hematoxylin and Eosin‐stained Human Brain Tissues: A Machine Learning Approach
Automating Microinfarct Screening in Hematoxylin and Eosin‐stained Human Brain Tissues: A Machine Learning Approach Open
Background Microinfarcts, characteristic lesions of vascular dementia (VaD), are heterogenous and vary in appearance, which pose a considerable challenge for VaD grading as there is great interrater variability in microinfarct assessment. …
View article: Adaptive and Stratified Subsampling Techniques for High Dimensional Non-Standard Data Environments
Adaptive and Stratified Subsampling Techniques for High Dimensional Non-Standard Data Environments Open
This paper addresses the challenge of estimating high-dimensional parameters in non-standard data environments, where traditional methods often falter due to issues such as heavy-tailed distributions, data contamination, and dependent obse…
View article: Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis
Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis Open
The efficacy of supervised deep learning in medical image analyses, particularly in pathology, is hindered by the necessity for extensive manual annotations. Annotating images at the gigapixel level manually proves to be a highly labor-int…
View article: How <i>cy pres</i> promotes transdisciplinary convergence science: an academic health center for women’s cardiovascular and brain health
How <i>cy pres</i> promotes transdisciplinary convergence science: an academic health center for women’s cardiovascular and brain health Open
Cardiovascular disease (CVD) is largely preventable, and the leading cause of death for men and women. Though women have increased life expectancy compared to men, there are marked sex disparities in prevalence and risk of CVD-associated m…
View article: Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Open
Medical imaging analysis has witnessed remarkable advancements even surpassing human-level performance in recent years, driven by the rapid development of advanced deep-learning algorithms. However, when the inference dataset slightly diff…
View article: Beyond Images: Adaptive Fusion of Visual and Textual Data for Food Classification
Beyond Images: Adaptive Fusion of Visual and Textual Data for Food Classification Open
This study introduces a novel multimodal food recognition framework that effectively combines visual and textual modalities to enhance classification accuracy and robustness. The proposed approach employs a dynamic multimodal fusion strate…
View article: EffViT-COVID: A dual-path network for COVID-19 percentage estimation
EffViT-COVID: A dual-path network for COVID-19 percentage estimation Open
View article: IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired People
IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired People Open
Currency recognition has always been a troublesome task for blind and visually impaired people (BVIP). The problem is more severe in developing countries such as India, where there is still a lack of robust currency recognition systems. BV…