| 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 | 435 | 2019 |
| 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 | 298 | 2019 |
| 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 | 260 | 2018 |
| 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 | 239 | 2019 |
| 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 | 227 | 2020 |
| 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 | 140 | 2021 |
| 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 | 89 | 2020 |
| CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images A Mahbod, G Schaefer, B Bancher, C Löw, G Dorffner, R Ecker, I Ellinger Computers in biology and medicine 132, 104349, 2021 | 88 | 2021 |
| Breast cancer histological image classification using fine-tuned deep network fusion A Mahbod, I Ellinger, R Ecker, Ö Smedby, C Wang Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 47 | 2018 |
| A two-stage U-Net algorithm for segmentation of nuclei in H&E-stained tissues A Mahbod, G Schaefer, I Ellinger, R Ecker, Ö Smedby, C Wang Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 45 | 2019 |
| Automatic Brain Segmentation Using Artificial Neural Networks with Shape Context A Mahbod, M Chowdhury, Ö Smedby, C Wang Pattern Recognition Letters 101, 74-79, 2018 | 42 | 2018 |
| 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 | 34 | 2021 |
| 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 | 33 | 2022 |
| FUSeg: The foot ulcer segmentation challenge C Wang, A Mahbod, I Ellinger, A Galdran, S Gopalakrishnan, J Niezgoda, ... Information 15 (3), 140, 2024 | 29 | 2024 |
| 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 | 22 | 2021 |
| 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 | 20 | 2021 |
| 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 | 13 | 2022 |
| Automatic Multiple Sclerosis Lesion Segmentation Using Hybrid Artificial Neural Networks A Mahbod, C Wang, Ö Smedby Workshop Proceedings of the 1st MICCAI Challenge on Multiple Sclerosis …, 2016 | 11 | 2016 |
| 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 Löw, G Dorffner, R Ecker, I Ellinger Diagnostics 11 (6), 967, 2021 | 10 | 2021 |
| NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images A Mahbod, C Polak, K Feldmann, R Khan, K Gelles, G Dorffner, R Woitek, ... Scientific Data 11 (1), 295, 2024 | 9 | 2024 |
Isabella EllingerAssoc. Prof. at Medical University of ViennaVerified email at meduniwien.ac.at
