Search Results - "Milletarì, Fausto"

The future of digital health with federated learning by Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletarì, Fausto, Roth, Holger R., Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett A., Maier-Hein, Klaus, Ourselin, Sébastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge

“…Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected…”
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Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound by Milletari, Fausto, Ahmadi, Seyed-Ahmad, Kroll, Christine, Plate, Annika, Rozanski, Verena, Maiostre, Juliana, Levin, Johannes, Dietrich, Olaf, Ertl-Wagner, Birgit, Bötzel, Kai, Navab, Nassir

“…•We propose Hough-CNN, a novel segmentation approach based on a voting strategy. We show that the method is multi-modal, multi-region, robust and implicitly…”
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation by Milletari, Fausto, Navab, Nassir, Ahmadi, Seyed-Ahmad

“…Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite…”
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Multimodal image-guided prostate fusion biopsy based on automatic deformable registration by Zettinig, Oliver, Shah, Amit, Hennersperger, Christoph, Eiber, Matthias, Kroll, Christine, Kübler, Hubert, Maurer, Tobias, Milletarì, Fausto, Rackerseder, Julia, Schulte zu Berge, Christian, Storz, Enno, Frisch, Benjamin, Navab, Nassir

“…Purpose Transrectal ultrasound (TRUS)-guided random prostate biopsy is, in spite of its low sensitivity, the gold standard for the diagnosis of prostate…”
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Robust navigation support in lowest dose image setting by Bui, Mai, Bourier, Felix, Baur, Christoph, Milletari, Fausto, Navab, Nassir, Demirci, Stefanie

“…Purpose Clinical cardiac electrophysiology (EP) is concerned with diagnosis and treatment of cardiac arrhythmia describing abnormality or perturbation in the…”
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Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics by Wenzel, Markus, Milletari, Fausto, Krüger, Julia, Lange, Catharina, Schenk, Michael, Apostolova, Ivayla, Klutmann, Susanne, Ehrenburg, Marcus, Buchert, Ralph

“…Purpose This study investigated the potential of deep convolutional neural networks (CNN) for automatic classification of FP-CIT SPECT in multi-site or…”
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Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT by Milletari, Fausto, Frei, Johann, Aboulatta, Moustafa, Vivar, Gerome, Ahmadi, Seyed-Ahmad

“…Background: Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts…”
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3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation by Riva, Marco, Hennersperger, Christoph, Milletari, Fausto, Katouzian, Amin, Pessina, Federico, Gutierrez-Becker, Benjamin, Castellano, Antonella, Navab, Nassir, Bello, Lorenzo

“…Background Brainshift is still a major issue in neuronavigation. Incorporating intra-operative ultrasound (iUS) with advanced registration algorithms within…”
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Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography by Bernard, Olivier, Bosch, Johan G., Heyde, Brecht, Alessandrini, Martino, Barbosa, Daniel, Camarasu-Pop, Sorina, Cervenansky, Frederic, Valette, Sebastien, Mirea, Oana, Bernier, Michel, Jodoin, Pierre-Marc, Domingos, Jaime Santo, Stebbing, Richard V., Keraudren, Kevin, Oktay, Ozan, Caballero, Jose, Shi, Wei, Rueckert, Daniel, Milletari, Fausto, Ahmadi, Seyed-Ahmad, Smistad, Erik, Lindseth, Frank, van Stralen, Maartje, Wang, Chen, Smedby, Orjan, Donal, Erwan, Monaghan, Mark, Papachristidis, Alex, Geleijnse, Marcel L., Galli, Elena, D'hooge, Jan

“…Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left ventricular (LV) volume assessment. However, identification of the LV…”
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NeurReg: Neural Registration and Its Application to Image Segmentation by Zhu, Wentao, Myronenko, Andriy, Xu, Ziyue, Li, Wenqi, Roth, Holger, Huang, Yufang, Milletari, Fausto, Xu, Daguang

“…Registration is a fundamental task in medical image analysis which can be applied to several tasks including image segmentation, intra-operative tracking,…”
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Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences by Baur, Christoph, Milletari, Fausto, Belagiannis, Vasileios, Navab, Nassir, Fallavollita, Pascal

“…Purpose Catheter guidance is a vital task for the success of electrophysiology interventions. It is usually provided through fluoroscopic images that are taken…”
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Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences by Milletari, Fausto, Navab, Nassir, Fallavollita, Pascal

“…We propose a method to perform automatic detection of electrophysiology (EP) catheters in fluoroscopic sequences. Our approach does not need any…”
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Privacy-preserving Federated Brain Tumour Segmentation by Li, Wenqi, Milletarì, Fausto, Xu, Daguang, Rieke, Nicola, Hancox, Jonny, Zhu, Wentao, Baust, Maximilian, Cheng, Yan, Ourselin, Sébastien, Cardoso, M. Jorge, Feng, Andrew

“…Due to medical data privacy regulations, it is often infeasible to collect and share patient data in a centralised data lake. This poses challenges for…”
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3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study by Ahmadi, Seyed-Ahmad, Milletari, Fausto, Navab, Nassir, Schuberth, Madeleine, Plate, Annika, Bötzel, Kai

“…Purpose  Intra-operative image guidance during deep brain stimulation (DBS) surgery is usually avoided due to cost and overhead of intra-operative MRI and CT…”
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Fully automatic catheter localization in C-arm images using ł1-sparse coding by Milletari, Fausto, Belagiannis, Vasileios, Navab, Nassir, Fallavollita, Pascal

“…We propose a method to perform automatic detection and tracking of electrophysiology (EP) catheters in C-arm fluoroscopy sequences. Our approach does not…”
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Adapting Self-Supervised Learning for Computational Pathology by Zimmermann, Eric, Tenenholtz, Neil, Hall, James, Shaikovski, George, Zelechowski, Michal, Casson, Adam, Milletari, Fausto, Viret, Julian, Vorontsov, Eugene, Liu, Siqi, Severson, Kristen

“…Self-supervised learning (SSL) has emerged as a key technique for training networks that can generalize well to diverse tasks without task-specific…”
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Straight to the point: reinforcement learning for user guidance in ultrasound by Milletari, Fausto, Birodkar, Vighnesh, Sofka, Michal

“…Point of care ultrasound (POCUS) consists in the use of ultrasound imaging in critical or emergency situations to support clinical decisions by healthcare…”
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TOMAAT: volumetric medical image analysis as a cloud service by Milletari, Fausto, Frei, Johann, Ahmadi, Seyed-Ahmad

“…Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts have improved…”
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Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation by Yang, Dong, Roth, Holger, Xu, Ziyue, Milletari, Fausto, Zhang, Ling, Xu, Daguang

“…Published at MICCAI 2019 Deep neural network (DNN) based approaches have been widely investigated and deployed in medical image analysis. For example, fully…”
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CFCM: Segmentation via Coarse to Fine Context Memory by Milletari, Fausto, Rieke, Nicola, Baust, Maximilian, Esposito, Marco, Navab, Nassir

“…Recent neural-network-based architectures for image segmentation make extensive usage of feature forwarding mechanisms to integrate information from multiple…”
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