Implicit Neural Representation in Medical Imaging: A Comparative Survey

1 code implementation • 30 Jul 2023 • Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli, Amirhossein Kazerouni, Bobby Azad, Reza Azad, Dorit Merhof

Recognizing the potential of INRs beyond these domains, this survey aims to provide a comprehensive overview of INR models in the field of medical imaging.

Domain Adaptation Image Reconstruction +1

EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition

no code implementations • 23 Jul 2023 • Amirhossein Aminimehr, Amirali Molaei, Erik Cambria

Through experiments on benchmark scene classification datasets, EnTri has demonstrated superiority in terms of recognition accuracy, achieving competitive performance compared to state-of-the-art approaches, with an accuracy of 87. 69%, 75. 56%, and 99. 17% on the MIT67, SUN397, and UIUC8 datasets, respectively.

Classification Ensemble Learning +3

TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction

no code implementations • 19 Jul 2023 • Amirhossein Aminimehr, Pouya Khani, Amirali Molaei, Amirmohammad Kazemeini, Erik Cambria

Additionally, objects and regions of the input image that are relevant to the model prediction are frequently not entirely differentiated by heatmaps.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review

1 code implementation • 9 Jan 2023 • Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof

The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision.