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Amirreza Mahbod
Amirreza Mahbod
Assistant Professor at DPU, Lecturer at Medical University of Vienna
Verified email at meduniwien.ac.at - Homepage
Title
Cited by
Cited by
Year
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
3772019
Skin lesion classification using hybrid deep neural networks
A Mahbod, G Schaefer, C Wang, R Ecker, I Ellinge
ICASSP 2019-2019 IEEE international conference on acoustics, speech and†…, 2019
2722019
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure
O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ...
Scientific reports 8 (1), 13650, 2018
2372018
Fusing fine-tuned deep features for skin lesion classification
A Mahbod, G Schaefer, I Ellinger, R Ecker, A Pitiot, C Wang
Computerized Medical Imaging and Graphics 71, 19-29, 2019
2132019
Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification
A Mahbod, G Schaefer, C Wang, G Dorffner, R Ecker, I Ellinger
Computer methods and programs in biomedicine 193, 105475, 2020
2082020
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
1172021
The effects of skin lesion segmentation on the performance of dermatoscopic image classification
A Mahbod, P Tschandl, G Langs, R Ecker, I Ellinger
Computer Methods and Programs in Biomedicine 197, 105725, 2020
792020
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images
A Mahbod, G Schaefer, B Bancher, C LŲw, G Dorffner, R Ecker, I Ellinger
Computers in biology and medicine 132, 104349, 2021
682021
Breast cancer histological image classification using fine-tuned deep network fusion
A Mahbod, I Ellinger, R Ecker, ÷ Smedby, C Wang
Image Analysis and Recognition: 15th International Conference, ICIAR 2018†…, 2018
452018
A two-stage U-Net algorithm for segmentation of nuclei in H&E-stained tissues
A Mahbod, G Schaefer, I Ellinger, R Ecker, ÷ Smedby, C Wang
Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10†…, 2019
402019
Automatic Brain Segmentation Using Artificial Neural Networks with Shape Context
A Mahbod, M Chowdhury, ÷ Smedby, C Wang
Pattern Recognition Letters 101, 74-79, 2018
402018
Automatic foot ulcer segmentation using an ensemble of convolutional neural networks
A Mahbod, G Schaefer, R Ecker, I Ellinger
2022 26th International Conference on Pattern Recognition (ICPR), 4358-4364, 2022
262022
Investigating and exploiting image resolution for transfer learning-based skin lesion classification
A Mahbod, G Schaefer, C Wang, R Ecker, G Dorffner, I Ellinger
2020 25th international conference on pattern recognition (ICPR), 4047-4053, 2021
262021
FUSeg: The foot ulcer segmentation challenge
C Wang, A Mahbod, I Ellinger, A Galdran, S Gopalakrishnan, J Niezgoda, ...
Information 15 (3), 140, 2024
192024
Improving mask R-CNN for nuclei instance segmentation in hematoxylin & eosin-stained histological images
B Bancher, A Mahbod, I Ellinger, R Ecker, G Dorffner
MICCAI workshop on computational pathology, 20-35, 2021
172021
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
A Mahbod, G Schaefer, R Ecker, I Ellinger
Pattern Recognition. ICPR International Workshops and Challenges: Virtual†…, 2021
172021
Automatic Multiple Sclerosis Lesion Segmentation Using Hybrid Artificial Neural Networks
A Mahbod, C Wang, ÷ Smedby
Workshop Proceedings of the 1st MICCAI Challenge on Multiple Sclerosis†…, 2016
102016
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure. Sci Rep 8: 13650
O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ...
92018
A dual decoder u-net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images
A Mahbod, G Schaefer, G Dorffner, S Hatamikia, R Ecker, I Ellinger
Frontiers in Medicine 9, 978146, 2022
82022
Investigating the impact of the bit depth of fluorescence-stained images on the performance of deep learning-based nuclei instance segmentation
A Mahbod, G Schaefer, C LŲw, G Dorffner, R Ecker, I Ellinger
Diagnostics 11 (6), 967, 2021
62021
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