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View article: Computational Pathology with Topological signatures and Visual Word Encoding
Computational Pathology with Topological signatures and Visual Word Encoding Open
Tissue analysis is considered the gold standard for the diagnosis of a wide spectrum of disorders. However, pathologists perform labor-intensive evaluations to ensure accurate results. Computational pathology has made significant advances …
View article: 3D-TDA -- Topological feature extraction from 3D images for Alzheimer's disease classification
3D-TDA -- Topological feature extraction from 3D images for Alzheimer's disease classification Open
Now that disease-modifying therapies for Alzheimer disease have been approved by regulatory agencies, the early, objective, and accurate clinical diagnosis of AD based on the lowest-cost measurement modalities possible has become an increa…
View article: PathViT
PathViT Open
View article: C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm
C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm Open
The recently proposed Battle Royale Optimization (BRO) algorithm provided an acceptable trade-off between exploration and exploitation. In our previous work, we proposed single-objective binary, multimodal, and unconstrained multi-objectiv…
View article: AlzFormer: Video-based space-time attention model for early diagnosis of Alzheimer’s disease
AlzFormer: Video-based space-time attention model for early diagnosis of Alzheimer’s disease Open
View article: Artificial intelligence-based framework for Alzheimer’s disease diagnosis via video vision transformer
Artificial intelligence-based framework for Alzheimer’s disease diagnosis via video vision transformer Open
ViTranZheimer demonstrates strong potential for accurate and early Alzheimer's disease diagnosis using non-invasive MRI data. By leveraging video vision transformers, the model provides a promising tool for clinical decision support in neu…
View article: AFTG-Net: A Deep Attention-based Fusion Framework of Topological and Gradient Features for Pathological Image Analysis
AFTG-Net: A Deep Attention-based Fusion Framework of Topological and Gradient Features for Pathological Image Analysis Open
Skeletal muscle pathology is observed by structural disruptions in sarcomeres, increased central nuclei, and changes in myofiber cross-sectional area. In order to classify amyotrophic lateral sclerosis (ALS), diabetes, and healthy controls…
View article: MRI-based Alzheimer’s disease classification using Vision Transformer and time-series transformer: A step-by-step guide
MRI-based Alzheimer’s disease classification using Vision Transformer and time-series transformer: A step-by-step guide Open
This study introduces a reproducible pipeline for classifying Alzheimer's Disease from structural brain MRI utilizing a joint transformer architecture that integrates Vision Transformer and Time-Series Transformer models. The proposed fram…
View article: Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI
Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI Open
Alzheimer's disease (AD) is a neurodegenerative disorder affecting millions worldwide, necessitating early and accurate diagnosis for optimal patient management. In recent years, advancements in deep learning have shown remarkable potentia…
View article: Blix-Ray: Chest P with Vision-Language Models and Reinforcement Learning
Blix-Ray: Chest P with Vision-Language Models and Reinforcement Learning Open
View article: AlzFormer: Video-Based Space-Time Attention Model for Early Diagnosis of Alzheimer's Disease
AlzFormer: Video-Based Space-Time Attention Model for Early Diagnosis of Alzheimer's Disease Open
View article: Machine Learning Approaches for Predicting Progression to Alzheimer’s Disease in Patients with Mild Cognitive Impairment
Machine Learning Approaches for Predicting Progression to Alzheimer’s Disease in Patients with Mild Cognitive Impairment Open
Purpose Alzheimer's disease (AD), a neurodegenerative disorder, is a condition that impairs cognition, memory, and behavior. Mild cognitive impairment (MCI), a transitional stage before AD, urgently needs the development of prediction mode…
View article: ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction
ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction Open
Heart disease is the leading cause of death worldwide, and cardiac function as measured by ejection fraction (EF) is an important determinant of outcomes, making accurate measurement a critical parameter in PT evaluation. Echocardiograms a…
View article: Brain magnetic resonance image (MRI) segmentation using multimodal optimization
Brain magnetic resonance image (MRI) segmentation using multimodal optimization Open
One of the highly focused areas in the medical science community is segmenting tumors from brain magnetic resonance imaging (MRI). The diagnosis of malignant tumors at an early stage is necessary to provide treatment for patients. The pati…
View article: ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction
ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction Open
Heart disease is the leading cause of death worldwide, and cardiac function as measured by ejection fraction (EF) is an important determinant of outcomes, making accurate measurement a critical parameter in PT evaluation. Echocardiograms a…
View article: Joint transformer architecture in brain 3D MRI classification: its application in Alzheimer’s disease classification
Joint transformer architecture in brain 3D MRI classification: its application in Alzheimer’s disease classification Open
Alzheimer’s disease (AD), a neurodegenerative disease that mostly affects the elderly, slowly impairs memory, cognition, and daily tasks. AD has long been one of the most debilitating chronic neurological disorders, affecting mostly people…
View article: Multi-modal Battle Royale optimizer
Multi-modal Battle Royale optimizer Open
Multimodal optimization poses a challenging problem in the field of optimization as it entails the discovery of multiple local and global optima, unlike unimodal optimization, which seeks a single global solution. In recent years, the sign…
View article: ECGformer: Leveraging transformer for ECG heartbeat arrhythmia classification
ECGformer: Leveraging transformer for ECG heartbeat arrhythmia classification Open
An arrhythmia, also known as a dysrhythmia, refers to an irregular heartbeat. There are various types of arrhythmias that can originate from different areas of the heart, resulting in either a rapid, slow, or irregular heartbeat. An electr…
View article: Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI
Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI Open
Alzheimer's is a brain disease that gets worse over time and affects memory, thinking, and behavior. Alzheimer's disease (AD) can be treated and managed if it is diagnosed early, which can slow the progression of symptoms and improve quali…
View article: MOBRO: multi-objective battle royale optimizer
MOBRO: multi-objective battle royale optimizer Open
View article: Battle royale optimizer for multilevel image thresholding
Battle royale optimizer for multilevel image thresholding Open
View article: Battle royale optimizer with ring neighborhood topology
Battle royale optimizer with ring neighborhood topology Open
Recently, battle royale optimizer (BRO), a game-based metaheuristic search algorithm, has been proposed for use in continuous optimization, inspired by a genre of digital games known as “battle royale.” In BRO, each individual chooses the …
View article: Battle royale optimizer for multi-level image thresholding
Battle royale optimizer for multi-level image thresholding Open
Segmentation is an essential step of image processing that directly affects its success. Among the methods used for image segmentation, histogram-based thresholding is prevalent. Two well-known approaches to histogram-based thresholding ar…
View article: Text-based automatic personality prediction: a bibliographic review
Text-based automatic personality prediction: a bibliographic review Open
View article: A model to measure the spread power of rumors
A model to measure the spread power of rumors Open
View article: Automatic personality prediction: an enhanced method using ensemble modeling
Automatic personality prediction: an enhanced method using ensemble modeling Open
View article: Battle Royale Optimizer for solving binary optimization problems
Battle Royale Optimizer for solving binary optimization problems Open
Battle Royale Optimizer (BRO) is a recently proposed metaheuristic optimization algorithm used only in continuous problem spaces. The BinBRO is a binary version of BRO. The BinBRO algorithm employs a differential expression, which utilizes…
View article: BinBRO: Binary Battle Royale Optimizer algorithm
BinBRO: Binary Battle Royale Optimizer algorithm Open
Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain the optimal solu…
View article: Battle Royale Optimizer with a New Movement Strategy
Battle Royale Optimizer with a New Movement Strategy Open
View article: The state-of-the-art in text-based automatic personality prediction
The state-of-the-art in text-based automatic personality prediction Open
Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on different types of human generated/exchanged contents (such…