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2020 – today
- 2024
[i14]Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction. CoRR abs/2402.10066 (2024)- 2023
- [c6]Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction. ICASSP 2023: 1-5 - [c5]Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction. DSP 2023: 1-5 - 2022
- [i13]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:
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR abs/2201.00458 (2022) - [i12]Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction. CoRR abs/2210.15297 (2022) - 2021
- [j6]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:
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans. Frontiers Artif. Intell. 4: 598932 (2021) - [j5]Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis:
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction. Pattern Recognit. 116: 107942 (2021) - [j4]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:
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. IEEE Signal Process. Mag. 38(5): 37-66 (2021) - [c4]Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks. ICASSP 2021: 1040-1044 - [c3]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. ICIP 2021: 180-184 - [d1]Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-19 Low-Dose and Ultra-Low-Dose CT Scans. IEEE DataPort, 2021
- [i11]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:
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. CoRR abs/2105.14656 (2021) - [i10]Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. CoRR abs/2107.01527 (2021) - [i9]Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. Plataniotis, Arash Mohammadi:
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans. CoRR abs/2109.09241 (2021) - [i8]Shahin Heidarian, Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans. CoRR abs/2110.08721 (2021) - 2020
- [j3]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images. Pattern Recognit. Lett. 138: 638-643 (2020) - [c2]Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies. ICASSP 2020: 2013-2017 - [i7]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. CoRR abs/2004.02696 (2020) - [i6]Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis:
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction. CoRR abs/2008.06072 (2020) - [i5]Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning. CoRR abs/2009.14623 (2020) - [i4]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:
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans. CoRR abs/2010.16041 (2020) - [i3]Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks. CoRR abs/2010.16043 (2020) - [i2]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:
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. CoRR abs/2012.14106 (2020)
2010 – 2019
- 2019
- [j2]Arash Mohammadi, Parnian Afshar, Amir Asif, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Konstantinos N. Plataniotis:
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 36(1): 164-173 (2019) - [j1]Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali:
From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities. IEEE Signal Process. Mag. 36(4): 132-160 (2019) - 2018
- [i1]Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali:
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities. CoRR abs/1808.07954 (2018) - 2015
- [c1]Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider:
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI 2015: 1139-1142
Coauthor Index
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last updated on 2024-06-19 21:50 CEST by the dblp team
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