Fausto Milletari

Orcid: 0000-0002-8319-4773

According to our database1, Fausto Milletari authored at least 34 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Towards an AI-based assessment model of surgical difficulty during early phase laparoscopic cholecystectomy.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

2022
Towards accurate surgical workflow recognition with convolutional networks and transformers.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

2020
The future of digital health with federated learning.
npj Digit. Medicine, 2020

NeurReg: Neural Registration and Its Application to Image Segmentation.
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.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019
Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.
IEEE J. Biomed. Health Informatics, 2019

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.
CoRR, 2019

Interactive segmentation of medical images through fully convolutional neural networks.
CoRR, 2019

Robust navigation support in lowest dose image setting.
Int. J. Comput. Assist. Radiol. Surg., 2019

Improving V-Nets for multi-class abdominal organ segmentation.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation.
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.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Weakly Supervised Segmentation from Extreme Points.
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.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.
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)
PhD thesis, 2018

TOMAAT: volumetric medical image analysis as a cloud service.
CoRR, 2018

CFCM: Segmentation via Coarse to Fine Context Memory.
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.
Comput. Vis. Image Underst., 2017

3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation.
Int. J. Comput. Assist. Radiol. Surg., 2017

Fully Convolutional Regression Network for Accurate Detection of Measurement Points.
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.
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.
IEEE Trans. Medical Imaging, 2016

Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences.
Int. J. Comput. Assist. Radiol. Surg., 2016

Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields.
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.
Proceedings of the Computer Vision - ECCV 2016, 2016

Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Multimodal image-guided prostate fusion biopsy based on automatic deformable registration.
Int. J. Comput. Assist. Radiol. Surg., 2015

3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015

Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Universal Hough dictionaries for object tracking.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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