Search Results for author: Md Zakir Hossain

Found 8 papers, 4 papers with code

A Deep Learning Approach to Diabetes Diagnosis

no code implementations12 Mar 2024 Zeyu Zhang, Khandaker Asif Ahmed, Md Rakibul Hasan, Tom Gedeon, Md Zakir Hossain

Diabetes, resulting from inadequate insulin production or utilization, causes extensive harm to the body.

Specificity

Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

no code implementations26 Jan 2024 Yan Yang, Md Zakir Hossain, Xuesong Li, Shafin Rahman, Eric Stone

Spatial transcriptomics (ST) captures gene expression within distinct regions (i. e., windows) of a tissue slide.

Language Modelling Large Language Model

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction

1 code implementation30 Oct 2022 Yan Yang, Md Zakir Hossain, Eric A Stone, Shafin Rahman

This paper proposes an Exemplar Guided Network (EGN) to accurately and efficiently predict gene expression directly from each window of a tissue slide image.

A ResNet attention model for classifying mosquitoes from wing‑beating sounds

1 code implementation Scientific Reports 2022 Xutong Wei, Md Zakir Hossain, Khandaker Asif Ahmed

The current study aims to develop a deep neural network model to identify six mosquito species of three different genera, based on their wing-beating sounds.

Classification Data Augmentation +1

S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation

1 code implementation30 Nov 2020 Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman

Instead of constraining the translation process by using a reference image, the users can command the model to retouch the generated images by involving the semantic information in the generation process.

Attribute Image Generation +2

RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition

no code implementations7 Oct 2020 Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman

Smiles play a vital role in the understanding of social interactions within different communities, and reveal the physical state of mind of people in both real and deceptive ways.

Feature Engineering Smile Recognition

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