Multi parallel U-net encoder network for effective polyp image segmentation

H Al Jowair, M Alsulaiman, G Muhammad - Image and Vision Computing, 2023 - Elsevier
Automating polyps' detection and segmentation is very helpful in achieving early detection
and potentially effective treatment of colon cancer. Because of the constant rise in …

Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans

M Moradi, Y Chen, X Du, JM Seddon - Computers in Biology and Medicine, 2023 - Elsevier
Background Accurate retinal layer segmentation in optical coherence tomography (OCT)
images is crucial for quantitatively analyzing age-related macular degeneration (AMD) and …

Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography

X Ma, M Moradi, X Ma, Q Tang, M Levi… - Communications …, 2024 - nature.com
Optical coherence tomography (OCT) can be used to image microstructures of human
kidneys. However, current OCT probes exhibit inadequate field-of-view, leading to …

Opto-UNet: optimized UNet for segmentation of varicose veins in optical coherence tomography

M Viqar, V Madjarova, V Baghel… - 2022 10th European …, 2022 - ieeexplore.ieee.org
Human veins are important for carrying the blood from the body-parts to the heart. The
improper functioning of the human veins may arise from several venous diseases. Varicose …

Comparative Analysis of Machine Learning Models for Predicting Viscosity in Tri-n-Butyl Phosphate Mixtures Using Experimental Data

F Hatami, M Moradi - Computation, 2024 - mdpi.com
Tri-n-butyl phosphate (TBP) is essential in the chemical industry for dissolving and purifying
various inorganic acids and metals, especially in hydrometallurgical processes. Recent …

Radiomics in Kidney Transplantation: A Scoping Review of Current Applications, Limitations, and Future Directions

EJ Lim, J Yen, KY Fong, HY Tiong, EJ Aslim… - …, 2024 - journals.lww.com
Radiomics is increasingly applied to the diagnosis, management, and outcome prediction of
various urological conditions. The purpose of this scoping review is to evaluate the current …

Automatic and real-time tissue sensing for autonomous intestinal anastomosis using hybrid MLP-DC-CNN classifier-based optical coherence tomography

Y Wang, S Wei, R Zuo, M Kam… - Biomedical Optics …, 2024 - opg.optica.org
Anastomosis is a common and critical part of reconstructive procedures within
gastrointestinal, urologic, and gynecologic surgery. The use of autonomous surgical robots …

Multi‐focal channel attention for medical image segmentation

H Al Jowair, M Alsulaiman, G Muhammad - Expert Systems, 2024 - Wiley Online Library
Medical image segmentation through the use of deep learning is becoming a trend targeting
to automate disease detection and provide effective treatment. Traditionally huge manual …

Comparison of Different Machine Learning Approaches to Predict Viscosity of Tri-n-Butyl Phosphate Mixtures Using Experimental Data

F Hatami, M Moradi - arXiv preprint arXiv:2311.02522, 2023 - arxiv.org
Tri-n-butyl phosphate (TBP) is a solvent that is commonly used in a variety of industries,
including the nuclear and chemical industries, for its ability to dissolve and purify various …

COMPUTATIONAL MODELING AND MACHINE LEARNING METHODS FOR ADVANCING HEALTHCARE: MEDICAL IMAGE ANALYSIS AND MODEL VALIDATION …

M Moradi - 2024 - scholarworks.umass.edu
In the past decade, there has been notable progress in machine learning (ML) and
mathematical models aimed at enhancing healthcare. These advancements offer the …