| Gland segmentation in colon histology images: The glas challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical image analysis 35, 489-502, 2017 | 905 | 2017 |
| Collaborative analysis of multi-gigapixel imaging data using Cytomine R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ... Bioinformatics 32 (9), 1395-1401, 2016 | 204 | 2016 |
| You should use regression to detect cells P Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 150 | 2015 |
| Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization P Kainz, M Pfeiffer, M Urschler PeerJ 5, e3874, 2017 | 141 | 2017 |
| Subcutaneous fat patterning in athletes: selection of appropriate sites and standardisation of a novel ultrasound measurement technique: ad hoc working group on body … W Müller, TG Lohman, AD Stewart, RJ Maughan, NL Meyer, LB Sardinha, ... British journal of sports medicine 50 (1), 45-54, 2016 | 113 | 2016 |
| Body composition in sport: a comparison of a novel ultrasound imaging technique to measure subcutaneous fat tissue compared with skinfold measurement W Müller, M Horn, A Fürhapter-Rieger, P Kainz, JM Kröpfl, RJ Maughan, ... British journal of sports medicine 47 (16), 1028-1035, 2013 | 101 | 2013 |
| Body composition in sport: interobserver reliability of a novel ultrasound measure of subcutaneous fat tissue W Müller, M Horn, A Fürhapter-Rieger, P Kainz, JM Kröpfl, TR Ackland, ... British journal of sports medicine 47 (16), 1036-1043, 2013 | 68 | 2013 |
| Semantic segmentation of colon glands with deep convolutional neural networks and total variation segmentation P Kainz, M Pfeiffer, M Urschler arXiv preprint arXiv:1511.06919, 2015 | 67 | 2015 |
| Evolutionary compromises in fungal fitness: hydrophobins can hinder the adverse dispersal of conidiospores and challenge their survival F Cai, R Gao, Z Zhao, M Ding, S Jiang, C Yagtu, H Zhu, J Zhang, T Ebner, ... The ISME journal 14 (10), 2610-2624, 2020 | 53 | 2020 |
| IQM: an extensible and portable open source application for image and signal analysis in Java P Kainz, M Mayrhofer-Reinhartshuber, H Ahammer PloS one 10 (1), e0116329, 2015 | 40 | 2015 |
| Multi-factorial age estimation from skeletal and dental MRI volumes D Štern, P Kainz, C Payer, M Urschler Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 29 | 2017 |
| Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast … PM Kuri, E Pion, L Mahl, P Kainz, S Schwarz, C Brochhausen, T Aung, ... Cells 11 (15), 2321, 2022 | 23 | 2022 |
| Cytomine: An open-source software for collaborative analysis of whole-slide images R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ... Diagnostic Pathology 1 (8), 2016 | 18 | 2016 |
| Training echo state networks for rotation-invariant bone marrow cell classification P Kainz, H Burgsteiner, M Asslaber, H Ahammer Neural Computing and Applications 28, 1277-1292, 2017 | 17 | 2017 |
| Validation of AI-based Information Systems for Sensitive Use Cases: Using an XAI Approach in Pharmaceutical Engineering. A Polzer, J Fleiß, T Ebner, P Kainz, C Koeth, S Thalmann HICSS, 1-10, 2022 | 11 | 2022 |
| A 3D In Vivo Model for Studying Human Renal Cystic Tissue and Mouse Kidney Slices EM Bichlmayer, L Mahl, L Hesse, E Pion, V Haller, A Moehwald, C Hackl, ... Cells 11 (15), 2269, 2022 | 7 | 2022 |
| Image Pyramids as a New Approach for the Determination of Fractal Dimensions. M Mayrhofer-Reinhartshuber, P Kainz, H Ahammer ICPRAM, 239-243, 2013 | 5 | 2013 |
| AI-Enhanced Blood Cell Recognition and Analysis: Advancing Traditional Microscopy with the Web-Based Platform IKOSA M Campos-Medina, A Blumer, P Kraus-Füreder, ... Journal of Molecular Pathology 5 (1), 28-44, 2024 | 4 | 2024 |
| Robust bone marrow cell discrimination by rotation-invariant training of multi-class echo state networks P Kainz, H Burgsteiner, M Asslaber, H Ahammer Engineering Applications of Neural Networks: 16th International Conference …, 2015 | 3 | 2015 |
| Colon gland segmentation with deep convolutional neural networks and total variation segmentation P Kainz, M Pfeiffer, M Urschler MICCAI 2015 Challenge GLaS: Gland Segmentation in Colon Histology Images, 2015 | 2 | 2015 |