Md. Mostafa Kamal Sarker

Orcid: 0000-0002-4793-6661

According to our database1, Md. Mostafa Kamal Sarker authored at least 38 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies.
CoRR, 2023

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.
CoRR, 2023

Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network.
Expert Syst. Appl., 2021

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation.
CoRR, 2021

WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams.
IEEE J. Biomed. Health Informatics, 2020

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020

2019
Efficient Deep Learning Models and Their Applications to Health Informatics.
PhD thesis, 2019

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation.
CoRR, 2019

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network.
CoRR, 2019

Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism.
IEEE Access, 2019

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Mass Detection in Mammograms Using a Robust Deep Learning Model.
Proceedings of the Artificial Intelligence Research and Development, 2019

Food Places Classification in Egocentric Images Using Siamese Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018

REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks.
CoRR, 2018

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network.
CoRR, 2018

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2018

CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network.
Proceedings of the Artificial Intelligence Research and Development, 2018

Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

FoodPlaces: Learning Deep Features for Food Related Scene Understanding.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016
Segmentation and Recognition of Korean Vehicle License Plate Characters Based on the Global Threshold Method and the Cross-Correlation Matching Algorithm.
J. Inf. Process. Syst., 2016

2015
Detection and Recognition of Illegally Parked Vehicles Based on an Adaptive Gaussian Mixture Model and a Seed Fill Algorithm.
J. Inform. and Commun. Convergence Engineering, 2015

2014
Modeling and Implementing Two-Stage AdaBoost for Real-Time Vehicle License Plate Detection.
J. Appl. Math., 2014

A Fast and Robust License Plate Detection Algorithm Based on Two-stage Cascade AdaBoost.
KSII Trans. Internet Inf. Syst., 2014

A novel license plate character segmentation method for different types of vehicle license plates.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2014


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