Sharif Amit Kamran
Orcid: 0000-0002-1681-9438
According to our database1,
Sharif Amit Kamran
authored at least 23 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Deep Representation Learning with Limited Data for Biomedical Image Synthesis, Segmentation, and Detection.
PhD thesis, 2023
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation.
CoRR, 2023
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks.
Proceedings of the Applications of Medical Artificial Intelligence, 2022
Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022
2021
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks.
CoRR, 2021
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective.
CoRR, 2021
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
CoRR, 2021
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers.
CoRR, 2021
RV-GAN : Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks.
CoRR, 2021
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography.
CoRR, 2020
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Improving Robustness Using Joint Attention Network for Detecting Retinal Degeneration From Optical Coherence Tomography Images.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018.
CoRR, 2018
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks.
CoRR, 2018
2017
CoRR, 2017