Advances in mathematical and computational oncology, volume III
Title | Advances in mathematical and computational oncology, volume III PDF eBook |
Author | George Bebis |
Publisher | Frontiers Media SA |
Pages | 374 |
Release | 2023-10-25 |
Genre | Medical |
ISBN | 2832536646 |
Advances in Mathematical and Computational Oncology, Volume II
Title | Advances in Mathematical and Computational Oncology, Volume II PDF eBook |
Author | George Bebis |
Publisher | Frontiers Media SA |
Pages | 179 |
Release | 2022-06-27 |
Genre | Science |
ISBN | 2889764133 |
Advances in Mathematical and Computational Oncology
Title | Advances in Mathematical and Computational Oncology PDF eBook |
Author | Doron Levy |
Publisher | Frontiers Media SA |
Pages | 337 |
Release | 2022-05-05 |
Genre | Science |
ISBN | 2889741788 |
Mathematical and Computational Oncology
Title | Mathematical and Computational Oncology PDF eBook |
Author | George Bebis |
Publisher | Springer Nature |
Pages | 91 |
Release | 2021-12-11 |
Genre | Computers |
ISBN | 3030912418 |
This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
Mathematical and Computational Oncology
Title | Mathematical and Computational Oncology PDF eBook |
Author | George Bebis |
Publisher | |
Pages | 0 |
Release | 2021 |
Genre | Computer organization |
ISBN | 9783030912420 |
This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
Mathematical and Computational Oncology
Title | Mathematical and Computational Oncology PDF eBook |
Author | George Bebis |
Publisher | Springer Nature |
Pages | 133 |
Release | 2020-12-07 |
Genre | Computers |
ISBN | 3030645118 |
This book constitutes the refereed proceedings of the Second International Symposium on Mathematical and Computational Oncology, ISMCO 2020, which was supposed to be held in San Diego, CA, USA, in October 2020, but was instead held virtually due to the COVID-19 pandemic. The 6 full papers and 4 short papers presented together with 1 invited talk were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; general cancer computational biology; and posters.
Mathematical and Computational Oncology
Title | Mathematical and Computational Oncology PDF eBook |
Author | George Bebis |
Publisher | Springer Nature |
Pages | 99 |
Release | 2019-11-14 |
Genre | Computers |
ISBN | 3030352102 |
This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019. The 7 full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS).