|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
|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
|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
|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
|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
|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
|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
|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
|Parsing human skeletons in an operating room|
V Belagiannis, X Wang, HBB Shitrit, K Hashimoto, R Stauder, Y Aoki, ...
Machine Vision and Applications 27 (7), 1035-1046, 2016
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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