Atefeh Shahroudnejad

According to our database, Atefeh Shahroudnejad authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment.

Tina Behrouzi, Atefeh Shahroudnejad, Payam Mousavi

CoRR, 2023

2021

A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks.

Atefeh Shahroudnejad

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

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

2018

Improved Explainability of Capsule Networks: Relevance Path by Agreement.

Atefeh Shahroudnejad, Arash Mohammadi, Konstantinos N. Plataniotis

CoRR, 2018

CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain Tumor Volumetric Images.

Parnian Afshar, Atefeh Shahroudnejad, Arash Mohammadi, Konstantinos N. Plataniotis

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Improved Explainability of Capsule Networks: Relevance Path by Agreement.

Atefeh Shahroudnejad, Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018