62 citations · 101 across the 18 of their papers we have counts for
18 papers
Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
Ahmad Obeid, Said Boumaraf, Anabia Sohail +5
Recent years witnessed remarkable progress in computational histopathology, largely fueled by deep learning. This brought the clinical adoption of deep learning-based tools within…
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
Hina Raja, Taimur Hassan, Bilal Hassan +5
This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment. It co…
Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions
Muhayyuddin Ahmed, Ahsan Baidar Bakht, Taimur Hassan +6
Visual perception is an important component for autonomous navigation of unmanned surface vessels (USV), particularly for the tasks related to autonomous inspection and tracking. T…
Tomato Maturity Recognition with Convolutional Transformers
Asim Khan, Taimur Hassan, Muhammad Shafay +4
Tomatoes are a major crop worldwide, and accurately classifying their maturity is important for many agricultural applications, such as harvesting, grading, and quality control. In…
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar, Taimur Hassan, Muhammad Usman Akram +1
Pulmonary diseases can cause severe respiratory problems, leading to sudden death if not treated timely. Many researchers have utilized deep learning systems to diagnose pulmonary…
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2
Screening cluttered and occluded contraband items from baggage X-ray scans is a cumbersome task even for the expert security staff. This paper presents a novel strategy that extend…
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
Muhammed Shafay, Taimur Hassan, Ernesto Damiani +1
Detection of illegal and threatening items in baggage is one of the utmost security concern nowadays. Even for experienced security personnel, manual detection is a time-consuming…
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan, Bilal Hassan, Muhammad Usman Akram +3
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous sy…
Automated segmentation and extraction of posterior eye segment using OCT scans
Bilal Hassan, Taimur Hassan, Ramsha Ahmed +2
This paper proposes an automated method for the segmentation and extraction of the posterior segment of the human eye, including the vitreous, retina, choroid, and sclera compartme…
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2
Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and extreme occlusion. In this paper,…
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2
Identifying potential threats concealed within the baggage is of prime concern for the security staff. Many researchers have developed frameworks that can detect baggage threats fr…
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images
Taimur Hassan, Bilal Hassan, Ayman El-Baz +1
Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be clinically graded by examining the structural representations of Gleason tissues. This paper pr…
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression
Hina Raja, Taimur Hassan, Muhammad Usman Akram +1
Objective: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous progression can be easily monitored by analyzing the degeneration of retinal ganglion cells (RG…
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2
Detecting baggage threats is one of the most difficult tasks, even for expert officers. Many researchers have developed computer-aided screening systems to recognize these threats…
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions
Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi
Retinal lesions play a vital role in the accurate classification of retinal abnormalities. Many researchers have proposed deep lesion-aware screening systems that analyze and grade…
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2
In the last two decades, baggage scanning has globally become one of the prime aviation security concerns. Manual screening of the baggage items is tedious, error-prone, and compro…
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
Bilal Hassan, Ramsha Ahmed, Taimur Hassan +1
The current developments in the field of machine vision have opened new vistas towards deploying multimodal biometric recognition systems in various real-world applications. These…
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from Multi-Vendor X-ray Scans
Taimur Hassan, Salman H. Khan, Samet Akcay +2
In the last two decades, luggage scanning has globally become one of the prime aviation security concerns. Manual screening of the baggage items is a cumbersome, subjective and ine…