Excellence in Research and Innovation for Humanity

ICCTA 2018 : 20th International Conference on Computed Tomography Angiography

Zurich, Switzerland
January 15 - 16, 2018

Conference Code: 18CH01ICCTA

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICCTA 2018 has teamed up with the Special Journal Issue on Computed Tomography Angiography. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 30, 2017
Notification of Acceptance/Rejection   December 5, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 15, 2017
Conference Dates   January 15 - 16, 2018

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
2) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
3) Hypothesis of a Holistic Treatment of Cancer: Crab Method
Devasis Ghosh
4) Quality of Life Assessment across the Cancer Continuum: Understanding the Role of an Exercise Rehabilitation Programme
Bernat-Carles Serdà Ferrer, Arantza Del Valle Gómez
5) Design and Modeling of Human Middle Ear for Harmonic Response Analysis
Shende Suraj Balu, A. B. Deoghare, K. M. Pandey
6) Assessment of Drug Delivery Systems from Molecular Dynamic Perspective
M. Rahimnejad, B. Vahidi, B. Ebrahimi Hoseinzadeh, F. Yazdian, P. Motamed Fath, R. Jamjah
7) Identification of Disease Causing DNA Motifs in Human DNA Using Clustering Approach
G. Tamilpavai, C. Vishnuppriya
8) miR-200c as a Biomarker for 5-FU Chemosensitivity in Colorectal Cancer
Rezvan Najafi, Korosh Heydari, Massoud Saidijam
9) Low-Cost Robotic-Assisted Laparoscope
Ege Can Onal, Enver Ersen, Meltem Elitas
10) An Alternative and Complementary Medicine Method in Vulnerable Pediatric Cancer Patients: Yoga
Ç. Erdoğan, T. Turan
11) Absorbed Dose Estimation of 177Lu-DOTATOC in Adenocarcinoma Breast Cancer Bearing Mice
S. Zolghadri, M. Mousavi-Daramoroudi, H. Yousefnia, F. Abbasi-Davani
12) Grade and Maximum Tumor Dimension as Determinants of Lymphadenectomy in Patients with Endometrioid Endometrial Cancer (EEC)
Ali A. Bazzi, Ameer Hamza, Riley O’Hara, Kimberly Kado, Karen H. Hagglund, Lamia Fathallah, Robert T. Morris
13) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
14) Evolving Digital Circuits for Early Stage Breast Cancer Detection Using Cartesian Genetic Programming
Zahra Khalid, Gul Muhammad Khan, Arbab Masood Ahmad
15) An Inverse Heat Transfer Algorithm for Predicting the Thermal Properties of Tumors during Cryosurgery
Mohamed Hafid, Marcel Lacroix

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