Syed Muhammad Anwar | DeepAI

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∙ 08/21/2023

Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI

For machine learning-based prognosis and diagnosis of rare diseases, suc...

0 Abhijeet Parida, et al. ∙

∙ 07/04/2023

SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT

Self-supervised learning in federated learning paradigm has been gaining...

0 Sunder Ali Khowaja, et al. ∙

∙ 05/15/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

Automated brain tumor segmentation methods are well established, reachin...

0 Hongwei Bran Li, et al. ∙

∙ 05/15/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting

A myriad of algorithms for the automatic analysis of brain MR images is ...

0 Florian Kofler, et al. ∙

∙ 05/12/2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

Meningiomas are the most common primary intracranial tumor in adults and...

0 Dominic LaBella, et al. ∙

∙ 04/01/2023

Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface

An accurate classification of upper limb movements using electroencephal...

0 Saadat Ullah Khan, et al. ∙

∙ 11/27/2022

Development of a Modular Real-time Shared-control System for a Smart Wheelchair

In this paper, we propose a modular navigation system that can be mounte...

0 Vaishanth Ramaraj, et al. ∙

∙ 11/23/2022

SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays

Chest X-rays (CXRs) are a widely used imaging modality for the diagnosis...

0 Syed Muhammad Anwar, et al. ∙

∙ 11/15/2022

Motor imagery classification using EEG spectrograms

The loss of limb motion arising from damage to the spinal cord is a disa...

0 Saadat Ullah Khan, et al. ∙

∙ 08/29/2022

SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI

The availability of large scale data with high quality ground truth labe...

0 Sara Atito, et al. ∙

∙ 02/07/2022

Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review

This paper presents a comprehensive review of methods covering significa...

0 Aamir Arsalan, et al. ∙

∙ 04/08/2021

M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images

Glaucoma is a severe eye disease that is known to deteriorate optic neve...

0 Maleeha Khalid Khan, et al. ∙

∙ 10/18/2020

Variational Capsule Encoder

We propose a novel capsule network based variational encoder architectur...

22 Harish RaviPrakash, et al. ∙

∙ 09/07/2020

Brain Tumor Survival Prediction using Radiomics Features

Surgery planning in patients diagnosed with brain tumor is dependent on ...

0 Sobia Yousaf, et al. ∙

∙ 03/01/2020

Deep Learning for Musculoskeletal Image Analysis

The diagnosis, prognosis, and treatment of patients with musculoskeletal...

0 Ismail Irmakci, et al. ∙

∙ 10/16/2019

A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology

Artificial intelligence (AI) enabled radiomics has evolved immensely esp...

0 Syed Muhammad Anwar, et al. ∙

∙ 07/17/2019

Electroencephalography based Classification of Long-term Stress using Psychological Labeling

Stress research is a rapidly emerging area in thefield of electroencepha...

4 Sanay Muhammad Umar Saeed, et al. ∙

∙ 05/13/2019

Classification of Perceived Human Stress using Physiological Signals

In this paper, we present an experimental study for the classification o...

13 Aamir Arsalan, et al. ∙

∙ 05/13/2019

Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals

Tactile enhanced multimedia is generated by synchronizing traditional mu...

0 Aasim Raheel, et al. ∙

∙ 09/04/2017

Medical Image Analysis using Convolutional Neural Networks: A Review

Medical image analysis is the science of analyzing or solving medical pr...

0 Adnan Qayyum, et al. ∙

∙ 08/01/2017

Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network

Detection of brain tumor using a segmentation based approach is critical...

0 Saddam Hussain, et al. ∙

∙ 03/24/2017

Medical Image Retrieval using Deep Convolutional Neural Network

With a widespread use of digital imaging data in hospitals, the size of ...

0 Adnan Qayyum, et al. ∙

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