Skin Lesion Classification Using Hybrid Deep Neural Networks. - Amirreza Mahbod; Rupert Ecker; Isabella Ellinger (CoRR, 2017)

Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion. - Amirreza Mahbod; Isabella Ellinger; Rupert Ecker; Örjan Smedby; Chunliang Wang (ICIAR, 2018)

Automatic brain segmentation using artificial neural networks with shape context. - Amirreza Mahbod; Manish Chowdhury; Örjan Smedby; Chunliang Wang (Pattern Recognit. Lett., 2018)

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 (ECDP, 2019)

Skin Lesion Classification Using Hybrid Deep Neural Networks. - Amirreza Mahbod; Gerald Schaefer; Chunliang Wang; Rupert Ecker; Isabella Ellinger (ICASSP, 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)

Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks. - Amirreza Mahbod; Gerald Schaefer; Rupert Ecker; Isabella Ellinger (ICPR Workshops (1), 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 (ICPR, 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)

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)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. - Benjamin Bancher; Amirreza Mahbod; Isabella Ellinger; Rupert Ecker; Georg Dorffner (COMPAY@MICCAI, 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)

Automatic Foot Ulcer segmentation Using an Ensemble of Convolutional Neural Networks. - Amirreza Mahbod; Rupert Ecker; Isabella Ellinger (CoRR, 2021)

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. - Ruchika Verma; Neeraj Kumar 002; 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; et al. (IEEE Trans. Medical Imaging, 2021)

Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks. - Amirreza Mahbod; Gerald Schaefer; Rupert Ecker; Isabella Ellinger (ICPR, 2022)

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. - Amirreza Mahbod; Rahim Entezari; Isabella Ellinger; Olga Saukh (AMAI@MICCAI, 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)

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)

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)

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)

Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. - Palak Handa 001; Amirreza Mahbod; Florian Schwarzhans; Ramona Woitek; Nidhi Goel 001; Deepti Chhabra; Shreshtha Jha; Manas Dhir; Deepak Gunjan; Jagadeesh Kakarla; Balasubramanian Raman (CoRR, 2024)

WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation. - Palak Handa 001; Manas Dhir; Amirreza Mahbod; Florian Schwarzhans; Ramona Woitek; Nidhi Goel 001; Deepak Gunjan (CoRR, 2024)

FUSeg: The Foot Ulcer Segmentation Challenge. - Chuanbo Wang; Amirreza Mahbod; Isabella Ellinger; Adrian Galdran; Sandeep Gopalakrishnan; Jeffrey A. Niezgoda; Zeyun Yu (Inf., 2024)

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)

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, 2025)

Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification. - Amirreza Mahbod; Rupert Ecker; Ramona Woitek (CoRR, 2025)