1.3k citations · 1.3k across the 7 of their papers we have counts for
7 papers
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification
Umar Marikkar, Sara Atito, Muhammad Awais +1
Vision Transformers (ViTs) are widely adopted in medical imaging tasks, and some existing efforts have been directed towards vision-language training for Chest X-rays (CXRs). Howev…
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model
Syed Muhammad Anwar, Abhijeet Parida, Sara Atito +4
Chest X-rays (CXRs) are a widely used imaging modality for the diagnosis and prognosis of lung disease. The image analysis tasks vary. Examples include pathology detection and lung…
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Qishi Dong, Awais Muhammad, Fengwei Zhou +5
Recent advances on large-scale pre-training have shown great potentials of leveraging a large set of Pre-Trained Models (PTMs) for improving Out-of-Distribution (OoD) generalizatio…
Piezoelectric PVDF-TrFE/ PET Energy Harvesters for Structural Health Monitoring (SHM) Applications
Berkay Kullukçu, Mohammad Bathaei, Muhammad Awais +2
This research describes a piezoelectric Poly(vinylidene fluoride-co-trifluoroethylene)/ Polyethylene Terephthalate energy harvester for structural health monitoring of wind turbine…
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
Sara Atito, Syed Muhammad Anwar, Muhammad Awais +1
The availability of large scale data with high quality ground truth labels is a challenge when developing supervised machine learning solutions for healthcare domain. Although, the…
Using Deep Reinforcement Learning to solve Optimal Power Flow problem with generator failures
Muhammad Usman Awais
Deep Reinforcement Learning (DRL) is being used in many domains. One of the biggest advantages of DRL is that it enables the continuous improvement of a learning agent. Secondly, t…
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum +3
The science of solving clinical problems by analyzing images generated in clinical practice is known as medical image analysis. The aim is to extract information in an effective an…