Taimur Hassan
Orcid: 0000-0002-5896-8677
According to our database1,
Taimur Hassan
authored at least 80 papers
between 2006 and 2024.
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Bibliography
2024
A comprehensive review of artificial intelligence models for screening major retinal diseases.
Artif. Intell. Rev., May, 2024
IEEE Trans. Ind. Informatics, April, 2024
Improving reinforcement learning based moving object grasping with trajectory prediction.
Intell. Serv. Robotics, March, 2024
Expert Syst. Appl., March, 2024
IEEE J. Biomed. Health Informatics, February, 2024
Multim. Tools Appl., February, 2024
Neural Graph Refinement for Robust Recognition of Nuclei Communities in Histopathological Landscape.
IEEE Trans. Image Process., 2024
Pattern Recognit., 2024
Two-dimensional hybrid incremental learning (2DHIL) framework for semantic segmentation of skin tissues.
Image Vis. Comput., 2024
Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation.
Eng. Appl. Artif. Intell., 2024
Integrating Features for Recognizing Human Activities through Optimized Parameters in Graph Convolutional Networks and Transformer Architectures.
CoRR, 2024
Multi-Scale Hierarchical Contour Framework for Detecting Cluttered Threats in Baggage Security.
IEEE Access, 2024
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024
HapticFormers: Utilizing Transformers for Avocado Maturity Grading through Vision-based Tactile Assessment.
Proceedings of the IEEE Haptics Symposium, 2024
Feature Fusion for Human Activity Recognition using Parameter-Optimized Multi-Stage Graph Convolutional Network and Transformer Models.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024
2023
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals.
Brain Informatics, December, 2023
Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.
Biomed. Signal Process. Control., August, 2023
Neural Comput. Appl., May, 2023
Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy.
Inf. Fusion, April, 2023
J. Ambient Intell. Humaniz. Comput., March, 2023
IEEE Trans. Instrum. Meas., 2023
ACM Comput. Surv., 2023
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions.
CoRR, 2023
Convolutional Transformer for Autonomous Recognition and Grading of Tomatoes Under Various Lighting, Occlusion, and Ripeness Conditions.
CoRR, 2023
Seg-CURL: Segmented Contrastive Unsupervised Reinforcement Learning for Sim-to-Real in Visual Robotic Manipulation.
IEEE Access, 2023
Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions.
IROS, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023
Contrastive Learning Driven Self-Supervised Framework for Segmentation of Biomarker of Diabetic Macular Edema.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023
Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023
2022
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Sensors, 2022
AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data.
Remote. Sens., 2022
Tensor pooling-driven instance segmentation framework for baggage threat recognition.
Neural Comput. Appl., 2022
Medical Image Anal., 2022
Hybrid Machine-Learning-Based Spectrum Sensing and Allocation With Adaptive Congestion-Aware Modeling in CR-Assisted IoV Networks.
IEEE Internet Things J., 2022
Comput. Biol. Medicine, 2022
Deep Learning based Vertebral Body Segmentation with Extraction of Spinal Measurements and Disorder Disease Classification.
Biomed. Signal Process. Control., 2022
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2022
Dilated Convolution and Residual Network based Convolutional Neural Network for Recognition of Disastrous Events.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2022
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
Balanced Affinity Loss for Highly Imbalanced Baggage Threat Contour-Driven Instance Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology.
IEEE J. Biomed. Health Informatics, 2021
Joint Segmentation and Quantification of Chorioretinal Biomarkers in Optical Coherence Tomography Scans: A Deep Learning Approach.
IEEE Trans. Instrum. Meas., 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.
IEEE Trans. Instrum. Meas., 2021
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.
IEEE Trans. Biomed. Eng., 2021
CoRR, 2021
An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs.
Comput. Biol. Medicine, 2021
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy.
Comput. Biol. Medicine, 2021
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.
Biomed. Signal Process. Control., 2021
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
2020
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats.
Sensors, 2020
Autonomous Extraction of Gleason Patterns for Grading Prostate Cancer using Multi-Gigapixel Whole Slide Images.
CoRR, 2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion.
CoRR, 2020
Evaluation of Deep Segmentation Models for the Extraction of Retinal Lesions from Multi-modal Retinal Images.
CoRR, 2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans.
CoRR, 2020
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression.
CoRR, 2020
Deep Fusion Driven Semantic Segmentation for the Automatic Recognition of Concealed Contraband Items.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities.
Sensors, 2019
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs.
CoRR, 2019
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.
Comput. Biol. Medicine, 2019
2018
Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula.
J. Medical Syst., 2018
Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD.
J. Digit. Imaging, 2018
Structure Tensor Graph Searches Based Fully Automated Grading and 3D Profiling of Maculopathy From Retinal OCT Images.
IEEE Access, 2018
Fully Automated Multi-Resolution Channels and Multithreaded Spectrum Allocation Protocol for IoT Based Sensor Nets.
IEEE Access, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018
2016
Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.
Comput. Methods Programs Biomed., 2016
Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation.
Proceedings of the Third International Afro-European Conference for Industrial Advancement, 2016
2006
Proceedings of the 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), 2006
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006