Akshayaa Vaidyanathan - GROW- School for Oncology and Developmental Biology, Maastricht University

基本信息

Career Trajectory

Bio

Akshayaa Vaidyanathan received the master’s degree in cognitive psychology from the University College of Dublin. She is currently pursuing the Ph.D. degree with Oncoradiomics. Her research focuses on the application of AI in biomedical imaging.

Research Interests

Papers共 17 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Application of Deep Learning Auto-Segmentation and Unsupervised Machine Learning in Developing a Radiomic Prognostic Score to Predict Disease Recurrence Post Radiofrequency Ablation for Hepatocellular Carcinoma

Mathew Vithayathil,Akshayaa Vaidyanathan,Osman Ocal,Matthias Fabritius,Maciej Pech,Thomas Berg,Christian Loewe,Heinz-Josef Klumpen,Andrea Rockall,Henry Woodruff,Max Seidensticker,Eric Aboagye,Jens Ricke,Rohini Sharma

Journal of Hepatology (2023): S576-S576

Cited0Views0Bibtex

Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass

Orlando Parise,Gianmarco Parise,Akshayaa Vaidyanathan,Mariaelena Occhipinti,Ali Gharaviri,Cecilia Tetta,Elham Bidar,Bart Maesen,Jos G. Maessen,Mark La Meir,Sandro Gelsomino

JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE（2023）

Cited6Views0WOSBibtex

External Validation of a Radiomic Signature to Predict P16 (HPV) Status from Standard CT Images of Anal Cancer Patients

Ralph T. H. Leijenaar,Sean Walsh,Akshayaa Vaidyanathan, Lorenzo Aliboni, Victoria Lopez Sanchez,Michelle Leech, Ronan Joyce,Charles Gillham,Frédéric Kridelka,Roland Hustinx,Denis Danthine,Mariaelena Occhipinti,Wim Vos,Julien Guiot,Philippe Lambin,Pierre Lovinfosse

SCIENTIFIC REPORTS（2023）

Cited3Views0WOSNATUREBibtex

An Externally Validated Fully Automated Deep Learning Algorithm to Classify COVID-19 and Other Pneumonias on Chest Computed Tomography

Akshayaa Vaidyanathan,Julien Guiot,Fadila Zerka,Flore Belmans,Ingrid Van Peufflik,Louis Deprez,Denis Danthine,Gregory Canivet,Philippe Lambin,Sean Walsh,Mariaelena Occhipinti,Paul Meunier,Wim Vos,Pierre Lovinfosse,Ralph T. H. Leijenaar

ERJ Open Research（2022）

Cited6Views0WOSBibtex

Nodule vascularity as novel radiomics imaging endpoint for lung cancer diagnosis and prognosis

Francois Blistein,Sebastien Goffart,Flore Belmans,Ingrid Van Peufflik,Sean Walsh,Mariaelena Occhipinti,Wim Vos,Akshayaa Vaidyanathan

JOURNAL OF CLINICAL ONCOLOGY（2022）

Cited0Views0Bibtex

A Review in Radiomics: Making Personalized Medicine a Reality Via Routine Imaging

Julien Guiot,Akshayaa Vaidyanathan,Louis Deprez,Fadila Zerka,Denis Danthine,Anne-Noelle Frix,Philippe Lambin,Fabio Bottari,Nathan Tsoutzidis,Benjamin Miraglio,Sean Walsh,Wim Vos,Roland Hustinx,Marta Ferreira,Pierre Lovinfosse,Ralph T. H. Leijenaar

Medicinal research reviews（2021）

Cited139Views0WOSBibtex

139

Privacy Preserving Distributed Learning Classifiers – Sequential Learning with Small Sets of Data

Fadila Zerka,Visara Urovi,Fabio Bottari,Ralph T. H. Leijenaar,Sean Walsh,Hanif Gabrani-Juma,Martin Gueuning,Akshayaa Vaidyanathan,Wim Vos,Mariaelena Occhipinti,Henry C. Woodruff,Michel Dumontier,Philippe Lambin

Computers in Biology and Medicine（2021）

Cited13Views0EIWOSBibtex

Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians

Anne-Noelle Frix,Francois Cousin,Turkey Refaee,Fabio Bottari,Akshayaa Vaidyanathan,Colin Desir,Wim Vos,Sean Walsh,Mariaelena Occhipinti,Pierre Lovinfosse,Ralph T. H. Leijenaar,Roland Hustinx,Paul Meunier,Renaud Louis,Philippe Lambin,Julien Guiot

JOURNAL OF PERSONALIZED MEDICINE（2021）

Cited54Views0WOSBibtex

Prediction of Outcome in COVID-19 Patients Based on Clinical and Radiomics Chest CT Data

Julien Guiot,Akshayaa Vaidyanathan,Fadila Zerka,Louis Deprez,Denis Danthine,Anne-Noelle Frix,Fabio Bottari,Monique Henket,Stephane Mathieu,Philippe Lambin,Sean Walsh,Mariaelena Occhipinti,Benoit Misset, Louis Renard,Paul Meunier,Wim Vos,Ralph T. H. Leijenaar,Pierre Lovinfosse

Imaging (2021)

Cited0Views0Bibtex

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