Amirreza Mahbod
Orcid: 0000-0001-5042-1442
According to our database1,
Amirreza Mahbod
authored at least 25 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval.
CoRR, 2024
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation.
CoRR, 2024
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy.
CoRR, 2024
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction.
CoRR, 2024
2023
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization.
CoRR, 2023
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images.
CoRR, 2023
2022
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images.
CoRR, 2022
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images.
Proceedings of the Applications of Medical Artificial Intelligence, 2022
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
IEEE Trans. Medical Imaging, 2021
Automatic Foot Ulcer segmentation Using an Ensemble of Convolutional Neural Networks.
CoRR, 2021
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images.
Comput. Biol. Medicine, 2021
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
The effects of skin lesion segmentation on the performance of dermatoscopic image classification.
Comput. Methods Programs Biomed., 2020
Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Comput. Methods Programs Biomed., 2020
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Comput. Medical Imaging Graph., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Digital Pathology - 15th European Congress, 2019
2018
Pattern Recognit. Lett., 2018
Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017