Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Hossain, Md Zakir"'
Publikováno v:
Computers in Biology and Medicine, Volume 182, November 2024
In response to the global need for efficient early diagnosis of Autism Spectrum Disorder (ASD), this paper bridges the gap between traditional, time-consuming diagnostic methods and potential automated solutions. We propose a multi-atlas deep ensembl
Externí odkaz:
http://arxiv.org/abs/2407.07076
Autor:
Jobayer, Md, Shawon, Md. Mehedi Hasan, Hasan, Md Rakibul, Ghosh, Shreya, Gedeon, Tom, Hossain, Md Zakir
Objective: Heart murmurs are abnormal sounds caused by turbulent blood flow within the heart. Several diagnostic methods are available to detect heart murmurs and their severity, such as cardiac auscultation, echocardiography, phonocardiogram (PCG),
Externí odkaz:
http://arxiv.org/abs/2405.09570
Diabetes, resulting from inadequate insulin production or utilization, causes extensive harm to the body. Existing diagnostic methods are often invasive and come with drawbacks, such as cost constraints. Although there are machine learning models lik
Externí odkaz:
http://arxiv.org/abs/2403.07483
Spatial transcriptomics (ST) captures gene expression within distinct regions (i.e., windows) of a tissue slide. Traditional supervised learning frameworks applied to model ST are constrained to predicting expression from slide image windows for gene
Externí odkaz:
http://arxiv.org/abs/2401.14772
Empathy indicates an individual's ability to understand others. Over the past few years, empathy has drawn attention from various disciplines, including but not limited to Affective Computing, Cognitive Science and Psychology. Detecting empathy has p
Externí odkaz:
http://arxiv.org/abs/2311.00721
Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures gene expression of each fine-grained area (i.e., different windows) in the tissue slide with low throughput. This paper proposes an Exem
Externí odkaz:
http://arxiv.org/abs/2210.16721
Autor:
Faroque, Md. Tahrim, Yang, Yan, Hossain, Md Zakir, Naim, Sheikh Motahar, Mohammed, Nabeel, Rahman, Shafin
Smile veracity classification is a task of interpreting social interactions. Broadly, it distinguishes between spontaneous and posed smiles. Previous approaches used hand-engineered features from facial landmarks or considered raw smile videos in an
Externí odkaz:
http://arxiv.org/abs/2210.04240
Publikováno v:
In International Review of Economics and Finance September 2024 95
Autor:
Chandra Paul, Gour, Tauhida, Nuruzzaman, Md, Hossain, Md Zakir, Chandra Barman, Mrinal, Kumar, Dipankar
Publikováno v:
In Heliyon 15 August 2024 10(15)
Publikováno v:
In Computer Vision and Image Understanding November 2024 248