Heba Kandil

About Heba Kandil

Heba Kandil, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Mansoura University, specializes in the field of Bioengineering, Computer Vision, Image processing, Biometrics, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using mean arterial pressure in hypertension diagnosis versus using either systolic or diastolic blood pressure measurements

Medical image analysis for the early prediction of hypertension

The role of radiomics and AI technologies in the segmentation, detection, and management of hepatocellular carcinoma

State of the art: Lung cancer staging using updated imaging modalities

Segmentation of infant brain using nonnegative matrix factorization

Studying the role of cerebrovascular changes in different compartments in human brains in hypertension prediction

How ai can help in the diagnostic dilemma of pulmonary nodules

Kandil

Heba Kandil Information

University

Position

JB Speed School of Engineering University of Louisville USA. Egypt.

Citations(all)

254

Citations(since 2020)

231

Cited By

82

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Heba Kandil Skills & Research Interests

Bioengineering

Computer Vision

Image processing

Biometrics

Bioinformatics

Top articles of Heba Kandil

Using mean arterial pressure in hypertension diagnosis versus using either systolic or diastolic blood pressure measurements

Biomedicines

2023/3/10

Medical image analysis for the early prediction of hypertension

2023/1/1

The role of radiomics and AI technologies in the segmentation, detection, and management of hepatocellular carcinoma

2022/12/12

State of the art: Lung cancer staging using updated imaging modalities

2022/9/22

Segmentation of infant brain using nonnegative matrix factorization

Applied Sciences

2022/5/26

Studying the role of cerebrovascular changes in different compartments in human brains in hypertension prediction

Applied Sciences

2022/4/24

How ai can help in the diagnostic dilemma of pulmonary nodules

2022/4/6

Kandil

2022

Machine learning approaches for early prediction of hypertension.

2022

A comprehensive review of retinal vascular and optical nerve diseases based on optical coherence tomography angiography

2021/5/1

A novel mra-based framework for segmenting the cerebrovascular system and correlating cerebral vascular changes to mean arterial pressure

Applied Sciences

2021/4/28

Precise cerebrovascular segmentation

2020/10/25

Analysis of the importance of systolic blood pressure versus diastolic blood pressure in diagnosing hypertension: Mra study

2020/10/25

Accurate segmentation of cerebrovasculature from TOF-MRA images using appearance descriptors

IEEE Access

2020/3/23

A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations

NeuroImage: Clinical

2020/1/1

See List of Professors in Heba Kandil University(Mansoura University)