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ORCIDConstantinos G. Loukas
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2020 – today
- 2022
[c5]Constantinos G. Loukas
, Athanasios Gazis, Dimitrios Schizas:
A Multiple-instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images. BIOIMAGING 2022: 15-23- 2021
- [j11]Constantinos G. Loukas, Maximos Frountzas, Ioannis D. Schizas:
Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning. Int. J. Comput. Assist. Radiol. Surg. 16(1): 103-113 (2021) - [j10]Panagiotis Marentakis, Pantelis Karaiskos, Vassilis Kouloulias, Nikolaos Kelekis, Stylianos Argentos, Nikolaos Oikonomopoulos, Constantinos G. Loukas:
Lung cancer histology classification from CT images based on radiomics and deep learning models. Medical Biol. Eng. Comput. 59(7-8): 215-226 (2021) - [i2]Constantinos G. Loukas, Athanasios Gazis, Dimitrios Schizas:
A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images. CoRR abs/2107.12093 (2021) - 2020
- [c4]Constantinos G. Loukas, Ioannis D. Schizas:
Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning. BIOIMAGING 2020: 28-36
2010 – 2019
- 2019
- [c3]Constantinos G. Loukas:
Surgical Phase Recognition of Short Video Shots based on Temporal Modeling of Deep Features. BIOIMAGING 2019: 21-29 - 2018
- [j9]Constantinos G. Loukas, Christos Varytimidis, Konstantinos Rapantzikos, Meletios A. Kanakis:
Keyframe extraction from laparoscopic videos based on visual saliency detection. Comput. Methods Programs Biomed. 165: 13-23 (2018) - [i1]Constantinos G. Loukas:
Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features. CoRR abs/1807.07853 (2018) - 2016
- [j8]Constantinos G. Loukas, Nikolaos Nikiteas, Ioannis D. Schizas, Evangelos Georgiou:
Shot boundary detection in endoscopic surgery videos using a variational Bayesian framework. Int. J. Comput. Assist. Radiol. Surg. 11(11): 1937-1949 (2016) - 2013
- [j7]Constantinos G. Loukas:
Assessment of tumour angiogenesis in tissue section images based on a self-organising map (SOM). Comput. methods Biomech. Biomed. Eng. Imaging Vis. 1(2): 111-118 (2013) - [j6]Constantinos G. Loukas, Spiros Kostopoulos, Anna Tanoglidi, Dimitris Glotsos, Konstantinos Sfikas, Dionisis A. Cavouras:
Breast Cancer Characterization Based on Image Classification of Tissue Sections Visualized under Low Magnification. Comput. Math. Methods Medicine 2013: 829461:1-829461:7 (2013) - [j5]Constantinos G. Loukas, Constantinos Rouseas, Evangelos Georgiou:
The role of hand motion connectivity in the performance of laparoscopic procedures on a virtual reality simulator. Medical Biol. Eng. Comput. 51(8): 911-922 (2013) - 2012
- [j4]Constantinos G. Loukas, Peter Brown:
A PC-based system for predicting movement from deep brain signals in Parkinson's disease. Comput. Methods Programs Biomed. 107(1): 36-44 (2012) - [c2]Constantinos G. Loukas, Evangelos Georgiou:
Visual Tracking of Laparoscopic Instruments in a Hough Space. MMVR 2012: 270-272 - 2011
- [j3]Constantinos G. Loukas, Evangelos Georgiou:
Multivariate Autoregressive Modeling of Hand Kinematics for Laparoscopic Skills Assessment of Surgical Trainees. IEEE Trans. Biomed. Eng. 58(11): 3289-3297 (2011) - [c1]Vasileios Lahanas, Constantinos G. Loukas, Nikolaos Nikiteas, Dimitrios Dimitroulis, Evangelos Georgiou:
Psychomotor skills assessment in laparoscopic surgery using augmented reality scenarios. DSP 2011: 1-6
2000 – 2009
- 2005
- [j2]Constantinos G. Loukas, Alf D. Linney:
On a relaxation-labelling algorithm for quantitative assessment of tumour vasculature in tissue section images. Comput. Biol. Medicine 35(2): 157-171 (2005) - 2004
- [j1]Constantinos G. Loukas, Alf D. Linney:
A survey on histological image analysis-based assessment of three major biological factors influencing radiotherapy: proliferation, hypoxia and vasculature. Comput. Methods Programs Biomed. 74(3): 183-199 (2004)
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