Amirreza Mahbod

According to our database, Amirreza Mahbod authored at least 33 papers between 2017 and 2026.

Collaborative distances:

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

2026

NucEval: A Robust Evaluation Framework for Nuclear Instance Segmentation.

Amirreza Mahbod, Ramona Woitek, Jeanne Shen

CoRR, May, 2026

Effect of Patch Size on Fine-Tuning Vision Transformers in Two-Dimensional and Three-Dimensional Medical Image Classification.

Massoud Dehghan, Ramona Woitek, Amirreza Mahbod

CoRR, February, 2026

NucFuseRank: Dataset Fusion and Performance Ranking for Nuclei Instance Segmentation.

Nima Torbati, Anastasia Meshcheryakova, Ramona Woitek, Sepideh Hatamikia, Diana Mechtcheriakova, Amirreza Mahbod

CoRR, January, 2026

Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma.

Sepideh Hatamikia, Geevarghese George, Florian Schwarzhans, Amirreza Mahbod, Marika Reinius, Ali Abbasian Ardakani, Mercedes Jimenez-Linan, Satish Viswanath, Mireia Crispin-Ortuzar, Lorena Escudero Sanchez, Evis Sala, James D. Brenton, Ramona Woitek

CoRR, January, 2026

ACS-SegNet: An Attention-Based CNN-Segformer Segmentation Network for Tissue Segmentation in Histopathology.

Nima Torbati, Anastasia Meshcheryakova, Ramona Woitek, Diana Mechtcheriakova, Amirreza Mahbod

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

A Multimodal Cross-Attention Pathotranscriptome Integration for Enhanced Survival Prediction of Oral Squamous Cell Carcinoma.

Kountay Dwivedi, Amirreza Mahbod, Rupert Ecker, Klara Janjic

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification.

Amirreza Mahbod, Rupert Ecker, Ramona Woitek

CoRR, May, 2025

A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanoma.

Nima Torbati, Anastasia Meshcheryakova, Diana Mechtcheriakova, Amirreza Mahbod

CoRR, March, 2025

Evaluating pre-trained convolutional neural networks and foundation models as feature extractors for content-based medical image retrieval.

Amirreza Mahbod, Nematollah Saeidi, Sepideh Hatamikia, Ramona Woitek

Eng. Appl. Artif. Intell., 2025

2024

FUSeg: The Foot Ulcer Segmentation Challenge.

Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu

Inf., March, 2024

WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation.

Palak Handa, Manas Dhir, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel, Deepak Gunjan

CoRR, 2024

Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy.

Palak Handa, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel, Deepti Chhabra, Shreshtha Jha, Manas Dhir, Deepak Gunjan, Jagadeesh Kakarla, Balasubramanian Raman

CoRR, 2024

Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction.

Nematollah Saeidi, Hossein Karshenas, Bijan Shoushtarian, Sepideh Hatamikia, Ramona Woitek, Amirreza Mahbod

CoRR, 2024

2023

Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization.

Amirreza Mahbod, Georg Dorffner, Isabella Ellinger, Ramona Woitek, Sepideh Hatamikia

CoRR, 2023

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images.

Amirreza Mahbod, Christine Polak, Katharina Feldmann, Rumsha Khan, Katharina Gelles, Georg Dorffner, Ramona Woitek, Sepideh Hatamikia, Isabella Ellinger

CoRR, 2023

2022

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images.

Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh

CoRR, 2022

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images.

Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh

Proceedings of the Applications of Medical Artificial Intelligence, 2022

Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks.

Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

Automatic Foot Ulcer segmentation Using an Ensemble of Convolutional Neural Networks.

Amirreza Mahbod, Rupert Ecker, Isabella Ellinger

CoRR, 2021

CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images.

Amirreza Mahbod, Gerald Schaefer, Benjamin Bancher, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger

Comput. Biol. Medicine, 2021

Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images.

Benjamin Bancher, Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Georg Dorffner

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

The effects of skin lesion segmentation on the performance of dermatoscopic image classification.

Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger

Comput. Methods Programs Biomed., 2020

Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.

Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Georg Dorffner, Rupert Ecker, Isabella Ellinger

Comput. Methods Programs Biomed., 2020

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification.

Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Georg Dorffner, Isabella Ellinger

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.

Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Fusing fine-tuned deep features for skin lesion classification.

Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Alain Pitiot, Chunliang Wang

Comput. Medical Imaging Graph., 2019

Skin Lesion Classification Using Hybrid Deep Neural Networks.

Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Isabella Ellinger

Proceedings of the IEEE International Conference on Acoustics, 2019

A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues.

Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang

Proceedings of the Digital Pathology - 15th European Congress, 2019

2018

Automatic brain segmentation using artificial neural networks with shape context.

Amirreza Mahbod, Manish Chowdhury, Örjan Smedby, Chunliang Wang

Pattern Recognit. Lett., 2018

Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion.

Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Skin Lesion Classification Using Hybrid Deep Neural Networks.

Amirreza Mahbod, Rupert Ecker, Isabella Ellinger

CoRR, 2017