Md. Mostafa Kamal Sarker
Orcid: 0000-0002-4793-6661
According to our database1,
Md. Mostafa Kamal Sarker
authored at least 41 papers
between 2014 and 2024.
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Bibliography
2024
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis.
Big Data Cogn. Comput., September, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
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
Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023
2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
2021
Expert Syst. Appl., 2021
CoRR, 2021
Proceedings of the Artificial Intelligence Research and Development, 2021
2020
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
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
Proceedings of the Artificial Intelligence Research and Development, 2019
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
CoRR, 2018
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
Proceedings of the Artificial Intelligence Research and Development, 2018
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
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