Md Tauhidul Islam

Orcid: 0009-0000-9390-4487

According to our database1, Md Tauhidul Islam authored at least 49 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis.
CoRR, May, 2026

Enhancing Deep Learning Inference of Gene Regulatory Networks via Construction of Image Representation of Cell-Cell Interactions From scRNA-Seq Data.
IEEE J. Biomed. Health Informatics, April, 2026

Graph Transformer-Based Pathway Embedding for Cancer Prognosis.
CoRR, April, 2026

Toward a universal foundation model for graph-structured data.
CoRR, April, 2026

Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography.
CoRR, March, 2026

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR, February, 2026

Redefining the Down-Sampling Scheme of U-Net for Precision Biomedical Image Segmentation.
CoRR, February, 2026

Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions.
CoRR, February, 2026

2025
Non-Invasive Assessment of Structural and Mechanical Micro-Environmental Changes During Long Bone Regeneration Using a Multi-Modal and Multi-Parametric Ultrasound Imaging Technique in a Segmental Tibial Defect Sheep Model In Vivo.
IEEE Trans. Biomed. Eng., December, 2025

Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data.
Nat. Comput. Sci., December, 2025

Transformation of Biological Networks into Images via Semantic Cartography for Visual Interpretation and Scalable Deep Analysis.
CoRR, December, 2025

Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data.
CoRR, August, 2025

RAFT-USENet: A Unified Network for Accurate Axial and Lateral Motion Estimation in Ultrasound Elastography Imaging.
IEEE J. Biomed. Health Informatics, July, 2025

Neural Autoregressive Modeling of Brain Aging.
CoRR, July, 2025

Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation.
CoRR, June, 2025

Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations.
CoRR, January, 2025

Tissue-origin transcriptomic interactions as indicators of inflammatory aging and aging gene discovery.
Comput. Biol. Medicine, 2025

Neural Autoregressive Modeling of Brain Aging.
Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

2024
Non-Invasive Imaging of Mechanical Properties of Cancers In Vivo Based on Transformations of the Eshelby's Tensor Using Compression Elastography.
IEEE Trans. Medical Imaging, August, 2024

Deciphering the Feature Representation of Deep Neural Networks for High-Performance AI.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.
Briefings Bioinform., March, 2024

Discovering distinctive elements of biomedical datasets for high-performance exploration.
CoRR, 2024

2023
Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data.
Patterns, October, 2023

Small-Object Sensitive Segmentation Using Across Feature Map Attention.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Image classification using graph neural network and multiscale wavelet superpixels.
Pattern Recognit. Lett., February, 2023

2022
Utilizing differential characteristics of high dimensional data as a mechanism for dimensionality reduction.
Pattern Recognit. Lett., 2022

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images.
CoRR, 2022

Learning Treatment Plan Representations for Content Based Image Retrieval.
CoRR, 2022

Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.
Comput. Biol. Medicine, 2022

SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2021
Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction.
Pattern Recognit. Lett., 2021

Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers In Vivo.
IEEE Access, 2021

2020
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2020

Estimation of Vascular Permeability in Irregularly Shaped Cancers Using Ultrasound Poroelastography.
IEEE Trans. Biomed. Eng., 2020

2019
A Robust Method to Estimate the Time Constant of Elastographic Parameters.
IEEE Trans. Medical Imaging, 2019

Estimation of mechanical parameters in cancers by empirical orthogonal function analysis of poroelastography data.
Comput. Biol. Medicine, 2019

A New Poroelastography Method to Assess the Solid Stress Distribution in Cancers.
IEEE Access, 2019

2018
A Model-Based Approach to Investigate the Effect of a Long Bone Fracture on Ultrasound Strain Elastography.
IEEE Trans. Medical Imaging, 2018

A New Method for Estimating the Effective Poisson's Ratio in Ultrasound Poroelastography.
IEEE Trans. Medical Imaging, 2018

Speech Enhancement Based on Non-stationary Noise-driven Geometric Spectral Subtraction and Phase Spectrum Compensation.
CoRR, 2018

Enhancement of Noisy Speech exploiting a Gaussian Modeling based Threshold and a PDF Dependent Thresholding Function.
CoRR, 2018

Speech Enhancement in Adverse Environments Based on Non-stationary Noise-driven Spectral Subtraction and SNR-dependent Phase Compensation.
CoRR, 2018

Enhancement of Noisy Speech with Low Speech Distortion Based on Probabilistic Geometric Spectral Subtraction.
CoRR, 2018

Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients with an Erlang-2 PDF for Real Time Enhancement of Noisy Speech.
CoRR, 2018

A Divide and Conquer Strategy for Musical Noise-free Speech Enhancement in Adverse Environments.
CoRR, 2018

A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography.
Comput. Biol. Medicine, 2018

2017
Rayleigh modeling of teager energy operated perceptual wavelet packet coefficients for enhancing noisy speech.
Speech Commun., 2017

2015
Speech Enhancement Based on Student t Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients and a Custom Thresholding Function.
IEEE ACM Trans. Audio Speech Lang. Process., 2015


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