Fausto Milletarì
Fausto Milletarì
Verified email at nvidia.com - Homepage
TitleCited byYear
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
10202016
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
1112016
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
1022017
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
402015
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
332015
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
192017
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
172016
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
162013
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
132014
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
122017
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
122015
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
11*2014
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
72015
Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences
C Baur, F Milletari, V Belagiannis, N Navab, P Fallavollita
International journal of computer assisted radiology and surgery 11 (7 …, 2016
62016
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
32018
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
32017
Coupling convolutional neural networks and hough voting for robust segmentation of ultrasound volumes
C Kroll, F Milletari, N Navab, SA Ahmadi
German Conference on Pattern Recognition, 439-450, 2016
22016
P116. DBS electrode imaging using 3D transcranial ultrasound–A feasibility study with first quantitative results
SA Ahmadi, A Plate, M Schuberth, F Milletari, N Navab, K Bötzel
Clinical Neurophysiology 126 (8), e106-e107, 2015
22015
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
12019
TOMAAT: volumetric medical image analysis as a cloud service
F Milletari, J Frei, SA Ahmadi
arXiv preprint arXiv:1803.06784, 2018
12018
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Articles 1–20