[HTML][HTML] Blockchain for deep learning: review and open challenges

M Shafay, RW Ahmad, K Salah, I Yaqoob… - Cluster …, 2023 - Springer
Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …

A review on bayesian deep learning in healthcare: Applications and challenges

AA Abdullah, MM Hassan, YT Mustafa - IEEE Access, 2022 - ieeexplore.ieee.org
In the last decade, Deep Learning (DL) has revolutionized the use of artificial intelligence,
and it has been deployed in different fields of healthcare applications such as image …

Knowledge distillation driven instance segmentation for grading prostate cancer

T Hassan, M Shafay, B Hassan, MU Akram… - Computers in Biology …, 2022 - Elsevier
Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …

Disentangled representation for cross-domain medical image segmentation

J Wang, C Zhong, C Feng, Y Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Image segmentation is a long-standing problem in medical image analysis to facilitate the
clinical diagnosis and intervention. Progress has been made due to deep learning via …

[HTML][HTML] Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets: Generic incremental transfer learning approach and …

KT Chui, V Arya, SS Band, M Alhalabi, RW Liu… - Journal of Innovation & …, 2023 - Elsevier
Open datasets serve as facilitators for researchers to conduct research with ground truth
data. Generally, datasets contain innovation and knowledge in the domains that could be …

SIPFormer: Segmentation of multiocular biometric traits with transformers

B Hassan, T Hassan, R Ahmed… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …

[HTML][HTML] AUnet: A deep learning framework for surface water channel mapping using large-coverage remote sensing images and sparse scribble annotations from …

S Mazhar, G Sun, A Bilal, B Hassan, Y Li, J Zhang… - Remote Sensing, 2022 - mdpi.com
Water is a vital component of life that exists in a variety of forms, including oceans, rivers,
ponds, streams, and canals. The automated methods for detecting, segmenting, and …

UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection

R Hussain, H Basak - arXiv preprint arXiv:2303.04939, 2023 - arxiv.org
Glaucoma is a chronic visual disease that may cause permanent irreversible blindness.
Measurement of the cup-to-disc ratio (CDR) plays a pivotal role in the detection of glaucoma …

Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy

T Hassan, Z Li, MU Akram, I Hussain, K Khalaf… - Information …, 2023 - Elsevier
Retinopathy is a group of retinal diseases that causes severe retinal damage, resulting in
partial visual impairment or complete vision loss. Due to the capability of optical coherence …

Online monitoring for non-stationary operation via a collaborative neural network

S He, F Chen, N Xu, H Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Online monitoring has become a challenging issue because of the changing knowledge in
non-stationary operation. It requires an appropriate monitoring algorithm to timely self-adjust …