Anastasia Oikonomou

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning

Nastaran Enshaei, Farnoosh Naderkhani, Konstantinos N. Plataniotis, 2020, ArXiv.

Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network pdf

Nastaran Enshaei, Farnoosh Naderkhani, Konstantinos N. Plataniotis, 2021, Scientific Reports.

Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans pdf

Nastaran Enshaei, Farnoosh Naderkhani, Konstantinos N. Plataniotis, 2021, ArXiv.

CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans pdf

Konstantinos N. Plataniotis, Shahin Heidarian, Parnian Afshar, 2021, ArXiv.

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans pdf

Nastaran Enshaei, Farnoosh Naderkhani, Konstantinos N. Plataniotis, 2021, ArXiv.

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark pdf

Sumohana S. Channappayya, Amir Asif, Konstantinos N. Plataniotis, 2022, ArXiv.

Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules

Anastasia Oikonomou, N. Paul, E. Nguyen, 2019, Scientific Reports.

Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy

Farzad Khalvati, Ian Poon, Masoom A Haider, 2018, Scientific Reports.