Amirreza Mahbod

Orcid: 0000-0001-5042-1442

According to our database1, Amirreza Mahbod authored at least 25 papers between 2017 and 2024.

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Bibliography

2024
FUSeg: The Foot Ulcer Segmentation Challenge.
Inf., March, 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
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
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
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 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
Fusing fine-tuned deep features for skin lesion classification.
Comput. Medical Imaging Graph., 2019

Skin Lesion Classification Using Hybrid Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
Automatic brain segmentation using artificial neural networks with shape context.
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
Skin Lesion Classification Using Hybrid Deep Neural Networks.
CoRR, 2017


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