Search Results for author: Tommaso Mansi

Found 14 papers, 1 papers with code

A Wide-area, Low-latency, and Power-efficient 6-DoF Pose Tracking System for Rigid Objects

no code implementations15 Sep 2021 Young-Ho Kim, Ankur Kapoor, Tommaso Mansi, Ali Kamen

Overall, our proposed tracking system is capable of tracking a rigid object pose with sub-millimeter accuracy at the mid range of the work space and sub-degree accuracy for all work space under a lab setting.

Object Tracking Pose Tracking

Graph convolutional regression of cardiac depolarization from sparse endocardial maps

no code implementations28 Sep 2020 Felix Meister, Tiziano Passerini, Chloé Audigier, Èric Lluch, Viorel Mihalef, Hiroshi Ashikaga, Andreas Maier, Henry Halperin, Tommaso Mansi

The training set consists of data produced by a computational model of cardiac electrophysiology on a large cohort of synthetically generated geometries of ischemic hearts.


Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter

no code implementations12 Sep 2020 Young-Ho Kim, Jarrod Collins, Zhongyu Li, Ponraj Chinnadurai, Ankur Kapoor, C. Huie Lin, Tommaso Mansi

We present a simplified calibration approach for error compensation and verify with complex rotation of the catheter in benchtop and phantom experiments under varying realistic curvature conditions.

Anatomy Non-Linear Elasticity

Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations

no code implementations22 Mar 2019 Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen

The proposed registration approach is then built on the factorized latent shape code, with the assumption that the intrinsic shape deformation existing in original image domain is preserved in this latent space.

Image Registration Image-to-Image Translation

Learning a Probabilistic Model for Diffeomorphic Registration

no code implementations18 Dec 2018 Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi

Besides, we visualized the learned latent space and show that the encoded deformations can be used to transport deformations and to cluster diseases with a classification accuracy of 83% after applying a linear projection.

Deformable Medical Image Registration Diffeomorphic Medical Image Registration +1

Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration

no code implementations19 Apr 2018 Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette

This model enables to also generate normal or pathological deformations of any new image based on the probabilistic latent space.

Dilated FCN for Multi-Agent 2D/3D Medical Image Registration

no code implementations22 Nov 2017 Shun Miao, Sebastien Piat, Peter Fischer, Ahmet Tuysuzoglu, Philip Mewes, Tommaso Mansi, Rui Liao

Second, to handle various artifacts in 2D X-ray images, multiple local agents are employed efficiently via FCN-based structures, and an auto attention mechanism is proposed to favor the proposals from regions with more reliable visual cues.

Image Registration Medical Image Registration

An Artificial Agent for Robust Image Registration

1 code implementation30 Nov 2016 Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu

The resulting registration approach inherently encodes both a data-driven matching metric and an optimal registration strategy (policy).

Image Registration Medical Image Registration

Shaping the Future through Innovations: From Medical Imaging to Precision Medicine

no code implementations1 May 2016 Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi

Medical images constitute a source of information essential for disease diagnosis, treatment and follow-up.

Cannot find the paper you are looking for? You can Submit a new open access paper.