Improved Explainability of Capsule Networks: Relevance Path by Agreement. - Atefeh Shahroudnejad; Parnian Afshar; Konstantinos N. Plataniotis; Arash Mohammadi 001 (GlobalSIP, 2018)

CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain Tumor Volumetric Images. - Parnian Afshar; Atefeh Shahroudnejad; Arash Mohammadi 001; Konstantinos N. Plataniotis (ICIP, 2018)

Improved Explainability of Capsule Networks: Relevance Path by Agreement. - Atefeh Shahroudnejad; Arash Mohammadi 001; Konstantinos N. Plataniotis (CoRR, 2018)

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future. - Fatemeh Abdolali; Atefeh Shahroudnejad; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko; Michelle Noga; Kumaradevan Punithakumar (CoRR, 2020)

Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. - Atefeh Shahroudnejad; Roberto Vega; Amir Forouzandeh; Sharanya Balachandran; Jacob L. Jaremko; Michelle Noga; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Kumaradevan Punithakumar (EMBC, 2021)

TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. - Atefeh Shahroudnejad; Xuebin Qin; Sharanya Balachandran; Masood Dehghan; Dornoosh Zonoobi; Jacob L. Jaremko; Jeevesh Kapur; Martin Jägersand; Michelle Noga; Kumaradevan Punithakumar (MICCAI (1), 2021)

A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks. - Atefeh Shahroudnejad (CoRR, 2021)

A novel framework for automated warehouse layout generation. - Atefeh Shahroudnejad; Payam Mousavi; Oleksii Perepelytsia; Sahir; David Staszak; Matthew E. Taylor; Brent Bawel (Frontiers Artif. Intell., 2024)

Maskrenderer: 3D-infused multi-mask realistic face reenactment. - Tina Behrouzi; Atefeh Shahroudnejad; Payam Mousavi (Pattern Recognit., 2025)