Anastasia Oikonomou

30 papers B 2Misc 4Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction. CoRR Sadaf Khademi, Mehran Shabanpour, Reza Taleei, Anastasia Oikonomou, Arash Mohammadi
2025	J	`jnl`	Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module. J. Imaging Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Abdul Sidiqi, Elsie T. Nguyen, Balaji Ganeshan, Anastasia Oikonomou
2025	Misc	`conf`	SOLVE: Spatially Optimized Lung Volume Evidence Model for Efficient Nodule Malignancy Classification. ICASSP Sadaf Khademi, Anastasia Oikonomou, Arash Mohammadi
2024	J	`jnl`	NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction. CoRR Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2024	B	`conf`	Nyctale: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction. ICIP Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2023	—	`conf`	Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction. DSP Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2023	Misc	`conf`	Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction. ICASSP Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2022	J	`jnl`	Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev
2022	J	`jnl`	Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction. CoRR Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2021	J	`jnl`	CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans. CoRR Shahin Heidarian, Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2021	J	`jnl`	COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans. Frontiers Artif. Intell. Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, Seyed Farokh Atashzar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2021	J	`jnl`	COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. CoRR Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani
2021	Misc	`conf`	Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks. ICASSP Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani
2021	J	`jnl`	Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. IEEE Signal Process. Mag. Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis
2021	J	`jnl`	Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. CoRR Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi
2021	B	`conf`	Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. ICIP Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2021	J	`jnl`	MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction. Pattern Recognit. Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis
2021	J	`jnl`	Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans. CoRR Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. Plataniotis, Arash Mohammadi
2020	J	`jnl`	COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. CoRR Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2020	J	`jnl`	COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images. Pattern Recognit. Lett. Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2020	J	`jnl`	COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning. CoRR Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi
2020	J	`jnl`	COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans. CoRR Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Anastasia Oikonomou, Seyed Farokh Atashzar, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi, Moezedin Javad Rafiee
2020	J	`jnl`	CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks. CoRR Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani
2020	J	`jnl`	Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. CoRR Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis
2020	Misc	`conf`	MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies. ICASSP Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2020	J	`jnl`	MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction. CoRR Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis
2019	J	`jnl`	From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities. IEEE Signal Process. Mag. Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali
2019	J	`jnl`	Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [SP Competitions]. IEEE Signal Process. Mag. Arash Mohammadi, Parnian Afshar, Amir Asif, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Konstantinos N. Plataniotis
2018	J	`jnl`	From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities. CoRR Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali
2015	—	`conf`	Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider