Constantinos Loukas

About Constantinos Loukas

Constantinos Loukas, With an exceptional h-index of 21 and a recent h-index of 15 (since 2020), a distinguished researcher at National and Kapodistrian University of Athens, specializes in the field of Medical Physics, Medical Informatics, Medical Image Analysis, Computer Assisted Surgery, Surgical Data Science.

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

Prediction of remaining surgery duration in laparoscopic videos based on visual saliency and the transformer network

Efficiency and Safety of Patent Ductus Arteriosus Surgical Ligation in Extremely Low Birth Weight Infants Without Chest Tube Placement

Surgical gesture recognition in laparoscopic tasks based on the transformer network and self-supervised learning

A deep learning approach to upscaling “low-quality” MR Images: an in silico comparison study based on the UNet framework

Multiple Instance Convolutional Neural Network for gallbladder assessment from laparoscopic images

Impact of Quarantine and Vaccination Policies on Viral Load

C3DTRANS: A DEEP LEARNING APPROACH FOR SURGICAL GESTURE RECOGNITION

Lung cancer histology classification from CT images based on radiomics and deep learning models

Constantinos Loukas Information

University

Position

Medical School

Citations(all)

1545

Citations(since 2020)

742

Cited By

1074

hIndex(all)

21

hIndex(since 2020)

15

i10Index(all)

37

i10Index(since 2020)

25

Email

University Profile Page

National and Kapodistrian University of Athens

Google Scholar

View Google Scholar Profile

Constantinos Loukas Skills & Research Interests

Medical Physics

Medical Informatics

Medical Image Analysis

Computer Assisted Surgery

Surgical Data Science

Top articles of Constantinos Loukas

Title

Journal

Author(s)

Publication Date

Prediction of remaining surgery duration in laparoscopic videos based on visual saliency and the transformer network

The International Journal of Medical Robotics and Computer Assisted Surgery

Constantinos Loukas

Ioannis Seimenis

Konstantina Prevezanou

Dimitrios Schizas

2024/4

Efficiency and Safety of Patent Ductus Arteriosus Surgical Ligation in Extremely Low Birth Weight Infants Without Chest Tube Placement

Journal of Pediatric Intensive Care

Georgios Kourelis

Meletios Kanakis

Constantinos Loukas

Felicia Kakava

Konstantinos Kyriakoulis

...

2023/12

Surgical gesture recognition in laparoscopic tasks based on the transformer network and self-supervised learning

Bioengineering

Athanasios Gazis

Pantelis Karaiskos

Constantinos Loukas

2022/11/29

A deep learning approach to upscaling “low-quality” MR Images: an in silico comparison study based on the UNet framework

Applied Sciences

Rishabh Sharma

Panagiotis Tsiamyrtzis

Andrew G Webb

Ioannis Seimenis

Constantinos Loukas

...

2022/11/19

Multiple Instance Convolutional Neural Network for gallbladder assessment from laparoscopic images

The International Journal of Medical Robotics and Computer Assisted Surgery

Constantinos Loukas

Athanasios Gazis

Dimitrios Schizas

2022

Impact of Quarantine and Vaccination Policies on Viral Load

Applied Sciences

Dimitrios Koumatzidis

Ioannis Seimenis

Constantinos Loukas

Theodoros Constantinidis

Adam Adamopoulos

2022/12/28

C3DTRANS: A DEEP LEARNING APPROACH FOR SURGICAL GESTURE RECOGNITION

Physica Medica: European Journal of Medical Physics

A Gazis

C Loukas

2022/12/1

Lung cancer histology classification from CT images based on radiomics and deep learning models

Medical & Biological Engineering & Computing

Panagiotis Marentakis

Pantelis Karaiskos

Vassilis Kouloulias

Nikolaos Kelekis

Stylianos Argentos

...

2021/1

Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning

International Journal of Computer Assisted Radiology and Surgery

Constantinos Loukas

Maximos Frountzas

Dimitrios Schizas

2021/1

Editorial for" MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian …

Journal of Magnetic Resonance Imaging: JMRI

Constantinos Loukas

2021/12/1

A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images

arXiv preprint arXiv:2107.12093

Constantinos Loukas

Athanasios Gazis

Dimitrios Schizas

2021/7/26

Role of laparoscopic simulators in the development and assessment of laparoscopic surgical skills in laparoscopic surgery and gynecology

Michail Varras

Nikolaos Nikiteas

Viktoria‑Konstantina Varra

Fani‑Niki Varra

Evangelos Georgiou

...

2020/3/1

Comparison of laparoscopic surgical skills acquired on a virtual reality simulator and a box trainer: an analysis for obstetrics-gynecology residents

Clinical and Experimental Obstetrics & Gynecology

Michail Varras

C Loukas

N Nikiteas

VK Varra

FN Varra

...

2020/10/15

Performance assessment of subjects with nursing education trained in sigmoidoscopy by means of a simulator

Gastroenterology Nursing

Eleni Dokoutsidou

Moussa Alodat

Christos Mavrogiannis

Konstantinos Georgiou

Eleftheria Giannakoulopoulou

...

2020/11/1

Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning

Constantinos Loukas

Dimitrios Schizas

2020

Surgical performance analysis and classification based on video annotation of laparoscopic tasks

JSLS: Journal of the Society of Laparoscopic & Robotic Surgeons

Constantinos Loukas

Athanasios Gazis

Meletios A Kanakis

2020/10

Multi‐instance multi‐label learning for surgical image annotation

The International Journal of Medical Robotics and Computer Assisted Surgery

Constantinos Loukas

Nicholas P Sgouros

2020/4

See List of Professors in Constantinos Loukas University(National and Kapodistrian University of Athens)