| V-net: Fully convolutional neural networks for volumetric medical image segmentation F Milletari, N Navab, SA Ahmadi 2016 fourth international conference on 3D vision (3DV), 565-571, 2016 | 3209 | 2016 |
| Hough-CNN: deep learning for segmentation of deep brain regions in MRI and ultrasound F Milletari, SA Ahmadi, C Kroll, A Plate, V Rozanski, J Maiostre, J Levin, ... Computer Vision and Image Understanding 164, 92-102, 2017 | 255 | 2017 |
| Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation W Kehl, F Milletari, F Tombari, S Ilic, N Navab European conference on computer vision, 205-220, 2016 | 207 | 2016 |
| Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ... IEEE transactions on medical imaging 35 (4), 967-977, 2015 | 63 | 2015 |
| Privacy-preserving federated brain tumour segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... International Workshop on Machine Learning in Medical Imaging, 133-141, 2019 | 60 | 2019 |
| Multimodal image-guided prostate fusion biopsy based on automatic deformable registration O Zettinig, A Shah, C Hennersperger, M Eiber, C Kroll, H Kübler, T Maurer, ... International journal of computer assisted radiology and surgery 10 (12 …, 2015 | 58 | 2015 |
| The future of digital health with federated learning N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ... NPJ digital medicine 3 (1), 1-7, 2020 | 55 | 2020 |
| 3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation M Riva, C Hennersperger, F Milletari, A Katouzian, F Pessina, ... International journal of computer assisted radiology and surgery 12 (10 …, 2017 | 36 | 2017 |
| Integrating statistical prior knowledge into convolutional neural networks F Milletari, A Rothberg, J Jia, M Sofka International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 24 | 2017 |
| CFCM: segmentation via coarse to fine context memory F Milletari, N Rieke, M Baust, M Esposito, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 22 | 2018 |
| Interactive segmentation of medical images through fully convolutional neural networks T Sakinis, F Milletari, H Roth, P Korfiatis, P Kostandy, K Philbrick, Z Akkus, ... arXiv preprint arXiv:1903.08205, 2019 | 20 | 2019 |
| Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences F Milletari, N Navab, P Fallavollita International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 20 | 2013 |
| Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors SAA Fausto Milletari, Mehmet Yigitsoy, Nassir Navab MIDAS Journal, 2014 | 17* | 2014 |
| Robust segmentation of various anatomies in 3d ultrasound using hough forests and learned data representations F Milletari, SA Ahmadi, C Kroll, C Hennersperger, F Tombari, A Shah, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 15 | 2015 |
| Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding F Milletari, V Belagiannis, N Navab, P Fallavollita International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 15 | 2014 |
| Neurreg: Neural registration and its application to image segmentation W Zhu, A Myronenko, Z Xu, W Li, H Roth, Y Huang, F Milletari, D Xu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 12 | 2020 |
| Searching learning strategy with reinforcement learning for 3d medical image segmentation D Yang, H Roth, Z Xu, F Milletari, L Zhang, D Xu International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 12 | 2019 |
| Fully convolutional regression network for accurate detection of measurement points M Sofka, F Milletari, J Jia, A Rothberg Deep learning in medical image analysis and multimodal learning for clinical …, 2017 | 12 | 2017 |
| 3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study SA Ahmadi, F Milletari, N Navab, M Schuberth, A Plate, K Bötzel International journal of computer assisted radiology and surgery 10 (6), 891-900, 2015 | 11 | 2015 |
| Straight to the point: Reinforcement learning for user guidance in ultrasound F Milletari, V Birodkar, M Sofka Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image …, 2019 | 8 | 2019 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.tum.edu
