| 15.1. 1 Supervised detection methods X Chen, E Konukoglu Biomedical Image Synthesis and Simulation: Methods and Applications, 303, 2022 | | 2022 |
| 3D‐printed iodine‐ink CT phantom for radiomics feature extraction‐advantages and challenges M Bach, C Aberle, A Depeursinge, O Jimenez‐del‐Toro, R Schaer, ... Medical Physics 50 (9), 5682-5697, 2023 | 1 | 2023 |
| A 2.5 D convolutional neural network for HPV prediction in advanced oropharyngeal cancer ALG Saint-Esteven, M Bogowicz, E Konukoglu, O Riesterer, P Balermpas, ... Computers in biology and medicine 142, 105215, 2022 | 17 | 2022 |
| A deep learning automated segmentation algorithm accurately detects differences in longitudinal cartilage thickness loss-data from the FNIH biomarkers study of the … F Eckstein, AS Chaudhari, D Fuerst, M Gaisberger, J Kemnitz, ... Arthritis Care Res (Hoboken), 2020 | 7 | 2020 |
| A DEEP LEARNING AUTOMATED SEGMENTATION ALGORITHM ACCURATELY DETECTS DIFFERENCES IN LONGITUDINAL CARTILAGE THICKNESS LOSS–DATA FROM THE FNIH BIOMARKERS STUDY OF THE … W Wirth, AS Chaudhari, D Fuerst, M Gaisberger, J Kemnitz, ... International Workshop on OA Imaging 2020, 2020 | | 2020 |
| A deep learning based 6 degree-of-freedom localization method for endoscopic capsule robots M Turan, Y Almalioglu, E Konukoglu, M Sitti arXiv preprint arXiv:1705.05435, 2017 | 35 | 2017 |
| A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots M Sitti, M Turan, Y Almalioglu, E Konukoglu, M Sitti ArXiv, 2017 | | 2017 |
| A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots M Turan, J Shabbir, H Araujo, E Konukoglu, M Sitti International journal of intelligent robotics and applications 1, 442-450, 2017 | 50 | 2017 |
| A DEEP-LEARNING-BASED TECHNIQUE FOR THE QUANTITATIVE ANALYSIS OF FEMOROTIBIAL BONE AND OSTEOPHYTES–PRELIMINARY DATA FROM THE OAI JK Schachinger, S Maschek, A Wisser, D Fuerst, AS Chaudhari, J Kemnitz, ... International Workshop on OA Imaging 2020, 2020 | | 2020 |
| A deep-learning-based technique for the quantitative analysis of femorotibial osteophyte and bone volumes-data from the osteoarthritis initiative JK Schachinger, S Maschek, A Wisser, D Fürst, AS Chaudhari, J Kemnitz, ... Osteoarthritis and Cartilage 29, S328-S329, 2021 | 1 | 2021 |
| A field of experts prior for adapting neural networks at test time N Karani, G Brunner, E Erdil, S Fei, K Tezcan, K Chaitanya, E Konukoglu arXiv preprint arXiv:2202.05271, 2022 | 3 | 2022 |
| A fully dense and globally consistent 3d map reconstruction approach for gi tract to enhance therapeutic relevance of the endoscopic capsule robot M Turan, YY Pilavci, R Jamiruddin, H Araujo, E Konukoglu, M Sitti arXiv preprint arXiv:1705.06524, 2017 | 21 | 2017 |
| A generative approach for image-based modeling of tumor growth BH Menze, K Van Leemput, A Honkela, E Konukoglu, MA Weber, ... Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 80 | 2011 |
| A Generative Model for the Image-based Modeling of Tumor Growth BH Menze, K Van Leemput, A Honkela, E Konukoglu, MA Weber, ... The 22nd biennial International Conference on Information Processing in …, 2011 | | 2011 |
| A lifelong learning approach to brain MR segmentation across scanners and protocols N Karani, K Chaitanya, C Baumgartner, E Konukoglu International conference on medical image computing and computer-assisted …, 2018 | 134 | 2018 |
| A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation E Pernod, M Sermesant, E Konukoglu, J Relan, H Delingette, N Ayache Computers & Graphics 35 (2), 431-440, 2011 | 41 | 2011 |
| A new metric for detecting change in slowly evolving brain tumors: validation in meningioma patients KM Pohl, E Konukoglu, S Novellas, N Ayache, A Fedorov, IF Talos, ... Operative Neurosurgery 68, ons225-ons233, 2011 | 27 | 2011 |
| A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots M Turan, Y Almalioglu, H Araujo, E Konukoglu, M Sitti International journal of intelligent robotics and applications 1, 399-409, 2017 | 84 | 2017 |
| A partially reversible U-Net for memory-efficient volumetric image segmentation R Brügger, CF Baumgartner, E Konukoglu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 98 | 2019 |
| A recursive anisotropic fast marching approach to reaction diffusion equation: Application to tumor growth modeling E Konukoglu, M Sermesant, O Clatz, JM Peyrat, H Delingette, N Ayache Biennial International Conference on Information Processing in Medical …, 2007 | 108 | 2007 |
Antonio CriminisiPartner Research Lead at Microsoft CorporationVerified email at microsoft.com