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Muhammad Muhtasim Shahriar

Observed name: Shahriar, Muhammad Muhtasim
ORCID: 0009-0008-4954-3811
Observed ORCID: 0009-0008-4954-3811
OpenAlex ID: A5128340928
CG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support
2026 · Shahriar, Muhammad Muhtasim, Borno, Md. Naimur Asif, et al. · arXiv (Cornell University)
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FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification
2026 · Shahriar, Muhammad Muhtasim, Hafiz, M. M. Golam, et al. · arXiv (Cornell University)
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LENS-GRF: Permutation-Invariant Lesion Evidence Network with Gated Residual Fusion for Acne Severity Grading and Multi-Rater Clinical Oracle Analysis
2026 · Shahriar, Muhammad Muhtasim, Mridha, M. F., et al. · arXiv (Cornell University)
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SkinAgent AI: A Safety-Grounded Multimodal Agentic Framework for Non-Diagnostic Skincare Support
2026 · Shahriar, Muhammad Muhtasim, Sayem, Abdullah Mohammad, et al. · arXiv (Cornell University)
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A Safety-Grounded Multimodal Agentic Framework for Non-Diagnostic Skin Care Support (SkinAgent AI): Development and Evaluation Study (Preprint)
2026 · Muhammad Muhtasim Shahriar, Abdullah Mohammad Sayem, et al.
Swin-MSEG-Pro: Uncertainty-aware boundary-focused swin transformer with deep supervision for reliable gastrointestinal polyp segmentation
2026 · Muhammad Muhtasim Shahriar, M.M. Golam Hafiz, et al. · Array
FedPAXA-Net: Prototype-aligned personalized federated learning for multi-client gastrointestinal endoscopy image classification
2026 · Muhammad Muhtasim Shahriar, M.M. Golam Hafiz, et al. · Intelligence-Based Medicine
Federated Deep Learning with Client Communication Graphs for Osteosarcoma Histopathology Image Classification
2026 · M. M. Golam Hafiz, Muhammad Muhtasim Shahriar, et al. · Lecture notes in computer science
Deep Learning–Enhanced Computer Vision Approach for Autism-Related Behavior Detection from Image Data
2025 · Sadek Al Prince, Muhammad Muhtasim Shahriar, et al. · International Conference of Science and Information Technology in Smart Administration (ICSINTESA)
Development and Comparative Analysis of Deep Learning Models for Multiclass Classification of Liver Conditions in Ultrasound Imaging
2025 · Mamun Mahmud, Muhammad Muhtasim Shahriar, et al. · International Conference of Science and Information Technology in Smart Administration (ICSINTESA)
Works count: 10
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