Fausto Milletari

According to our database, Fausto Milletari authored at least 35 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adapting Self-Supervised Learning for Computational Pathology.

Eric Zimmermann, Neil A. Tenenholtz, James Brian Hall, George Shaikovski, Michal Zelechowski, Adam Casson, Fausto Milletari, Julian Viret, Eugene Vorontsov, Siqi Liu, Kristen Severson

CoRR, 2024

2023

Towards an AI-based assessment model of surgical difficulty during early phase laparoscopic cholecystectomy.

Julian Ronald Abbing, Frank J. Voskens, Beerend G. A. Gerats, Ruby Mae Egging, Fausto Milletari, Ivo A. M. J. Broeders

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

2022

Towards accurate surgical workflow recognition with convolutional networks and transformers.

Bokai Zhang, Julian Ronald Abbing, Amer Ghanem, Danyal Fer, Jocelyn Barker, Rami Abukhalil, Varun Kejriwal Goel, Fausto Milletarì

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

2020

The future of digital health with federated learning.

Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

npj Digit. Medicine, 2020

NeurReg: Neural Registration and Its Application to Image Segmentation.

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

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

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.

Fausto Milletari, Johann Frei, Moustafa AboulAtta, Gerome Vivar, Seyed-Ahmad Ahmadi

IEEE J. Biomed. Health Informatics, 2019

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

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu

CoRR, 2019

Interactive segmentation of medical images through fully convolutional neural networks.

Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson

CoRR, 2019

Robust navigation support in lowest dose image setting.

Mai Bui, Felix Bourier, Christoph Baur, Fausto Milletari, Nassir Navab, Stefanie Demirci

Int. J. Comput. Assist. Radiol. Surg., 2019

Improving V-Nets for multi-class abdominal organ segmentation.

Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Proceedings of the Medical Imaging 2019: Image Processing, 2019

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

Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Weakly Supervised Segmentation from Extreme Points.

Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound.

Fausto Milletari, Vighnesh Birodkar, Michal Sofka

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.

Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Hough Voting Strategies for Segmentation, Detection and Tracking (Hough Voting Strategies für Segmentierung, Detektion und Tracking)

Fausto Milletari

PhD thesis, 2018

TOMAAT: volumetric medical image analysis as a cloud service.

Fausto Milletari

CoRR, 2018

CFCM: Segmentation via Coarse to Fine Context Memory.

Fausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

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

Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Annika Plate, Verena E. Rozanski, Juliana Maiostre, Johannes Levin, Olaf Dietrich, Birgit Ertl-Wagner, Kai Bötzel, Nassir Navab

Comput. Vis. Image Underst., 2017

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

Marco Riva, Christoph Hennersperger, Fausto Milletari, Amin Katouzian, Federico Pessina, Benjamín Gutiérrez-Becker, Antonella Castellano, Nassir Navab, Lorenzo Bello

Int. J. Comput. Assist. Radiol. Surg., 2017

Fully Convolutional Regression Network for Accurate Detection of Measurement Points.

Michal Sofka, Fausto Milletari, Jimmy Jia, Alex Rothberg

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Integrating Statistical Prior Knowledge into Convolutional Neural Networks.

Fausto Milletari, Alex Rothberg, Jimmy Jia, Michal Sofka

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

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

Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge

IEEE Trans. Medical Imaging, 2016

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

Christoph Baur, Fausto Milletari, Vasileios Belagiannis, Nassir Navab, Pascal Fallavollita

Int. J. Comput. Assist. Radiol. Surg., 2016

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

Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

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

Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Christine Kroll, Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi

Proceedings of the Pattern Recognition - 38th German Conference, 2016

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

Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

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

Oliver Zettinig, Amit Shah, Christoph Hennersperger, Matthias Eiber, Christine Kroll, Hubert Kübler, Tobias Maurer, Fausto Milletari, Julia Rackerseder, Christian Schulte zu Berge, Enno Storz, Benjamin Frisch, Nassir Navab

Int. J. Comput. Assist. Radiol. Surg., 2015

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

Seyed-Ahmad Ahmadi, Fausto Milletari, Nassir Navab, Madeleine Schuberth, Annika Plate, Kai Bötzel

Int. J. Comput. Assist. Radiol. Surg., 2015

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

Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Christoph Hennersperger, Federico Tombari, Amit Shah, Annika Plate, Kai Boetzel, Nassir Navab

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Universal Hough dictionaries for object tracking.

Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Seyed-Ahmad Ahmadi, Nassir Navab

Proceedings of the British Machine Vision Conference 2015, 2015

2014

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

Fausto Milletari, Vasileios Belagiannis, Nassir Navab, Pascal Fallavollita

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Automatic Detection of Multiple and Overlapping EP Catheters in Fluoroscopic Sequences.

Fausto Milletari, Nassir Navab, Pascal Fallavollita

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013