Fausto Milletari

发表

Improving V-Nets for multi-class abdominal organ segmentation

Yuichiro Hayashi, Holger Roth, Chen Shen, 2019, Medical Imaging: Image Processing.

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Seyed-Ahmad Ahmadi, Nassir Navab, Fausto Milletari, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation pdf

Daguang Xu, Ling Zhang, Fausto Milletari, 2019, MICCAI.

NeurReg: Neural Registration and Its Application to Image Segmentation

Daguang Xu, Wenqi Li, Wentao Zhu, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Privacy-preserving Federated Brain Tumour Segmentation pdf

Daguang Xu, M. Jorge Cardoso, Maximilian Baust, 2019, MLMI@MICCAI.

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

Chen Wang, Wei Shi, Daniel Rueckert, 2016, IEEE Transactions on Medical Imaging.

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, SASHIMI@MICCAI.

Robust navigation support in lowest dose image setting

Nassir Navab, Stefanie Demirci, Mai Bui, 2018, International Journal of Computer Assisted Radiology and Surgery.

Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences

Nassir Navab, Pascal Fallavollita, Christoph Baur, 2015, International Journal of Computer Assisted Radiology and Surgery.

3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study

Nassir Navab, Seyed-Ahmad Ahmadi, Annika Plate, 2015, International Journal of Computer Assisted Radiology and Surgery.

Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT

Seyed-Ahmad Ahmadi, Fausto Milletari, Gerome Vivar, 2019, IEEE Journal of Biomedical and Health Informatics.

Hough Voting Strategies for Segmentation, Detection and Tracking

Fausto Milletari, 2018 .

TOMAAT: volumetric medical image analysis as a cloud service pdf

Fausto Milletari, F. Milletarì, 2018, ArXiv.

Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields

Nassir Navab, Fabian J. Theis, Lichao Wang, 2016, MLMI@MICCAI.

Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes

Nassir Navab, Seyed-Ahmad Ahmadi, Fausto Milletari, 2016, GCPR.

Weakly supervised segmentation from extreme points

Daguang Xu, Ling Zhang, Fausto Milletari, 2019, LABELS/HAL-MICCAI/CuRIOUS@MICCAI.

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2019, ArXiv.

3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation

Nassir Navab, Marco Riva, Fausto Milletari, 2017, International Journal of Computer Assisted Radiology and Surgery.

Universal Hough dictionaries for object tracking

Nassir Navab, Federico Tombari, Slobodan Ilic, 2015, BMVC.

Multimodal image-guided prostate fusion biopsy based on automatic deformable registration

Nassir Navab, Benjamin Frisch, Amit Shah, 2015, International Journal of Computer Assisted Radiology and Surgery.

Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding

Nassir Navab, Pascal Fallavollita, Fausto Milletari, 2014, MICCAI.

Fully Convolutional Regression Network for Accurate Detection of Measurement Points

Fausto Milletari, Michal Sofka, Alex Rothberg, 2017, DLMIA/ML-CDS@MICCAI.

Integrating Statistical Prior Knowledge into Convolutional Neural Networks

Fausto Milletari, Michal Sofka, Alex Rothberg, 2017, MICCAI.

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network

Daguang Xu, Xiaosong Wang, Ling Zhang, 2020, MIDL.

Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations

Nassir Navab, Federico Tombari, Seyed-Ahmad Ahmadi, 2015, MICCAI.

Automatic Detection of Multiple and Overlapping EP Catheters in Fluoroscopic Sequences

Nassir Navab, Pascal Fallavollita, Fausto Milletari, 2013, MICCAI.

CFCM: Segmentation via Coarse to Fine Context Memory pdf

Nassir Navab, Maximilian Baust, Marco Esposito, 2018, MICCAI.

Straight to the point: reinforcement learning for user guidance in ultrasound pdf

Fausto Milletari, Michal Sofka, Vighnesh Birodkar, 2019, SUSI/PIPPI@MICCAI.

The future of digital health with federated learning

Ronald M. Summers, Daguang Xu, M. Jorge Cardoso, 2020, npj Digital Medicine.

Interactive segmentation of medical images through fully convolutional neural networks pdf

Daguang Xu, Holger Roth, Bradley J. Erickson, 2019, ArXiv.

Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

Seyed-Ahmad Ahmadi, Annika Plate, Kai Boetzel, 2016, Comput. Vis. Image Underst..

Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation pdf

Nassir Navab, Federico Tombari, Slobodan Ilic, 2016, ECCV.

Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors

Nassir Navab, Seyed-Ahmad Ahmadi, Mehmet Yigitsoy, 2014, The MIDAS Journal.