Search Results for author: Michel de Mathelin

Found 9 papers, 4 papers with code

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract

no code implementations8 Apr 2021 Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi

In this work we study the implementation of 3 different Convolutional Neural Networks (CNNs), using a 2-steps training strategy, to classify images from the urinary tract with and without lesions.

Transfer Learning

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy

no code implementations5 Apr 2021 Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi

Of these, two architectures are taken as core-models, namely U-Net based in residual blocks($m_1$) and Mask-RCNN($m_2$), which are fed with single still-frames $I(t)$.

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture

no code implementations13 Jan 2021 Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi

For the training of these networks, we analyze the use of two different color spaces: gray-scale and RGB data images.

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

1 code implementation24 Aug 2018 Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy

In this paper, we present the dataset, its annotations, as well as baseline results from several recent person detection and 2D/3D pose estimation methods.

3D Human Pose Estimation 3D Pose Estimation +1

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms

1 code implementation25 Jan 2017 Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy

In this paper, we propose an approach for multi-view 3D human pose estimation from RGB-D images and demonstrate the benefits of using the additional depth channel for pose refinement beyond its use for the generation of improved features.

3D Human Pose Estimation

Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016

no code implementations27 Oct 2016 Andru P. Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy

The tool presence detection challenge at M2CAI 2016 consists of identifying the presence/absence of seven surgical tools in the images of cholecystectomy videos.

Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016

no code implementations27 Oct 2016 Andru P. Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy

On top of these architectures we propose to use two different approaches to enforce the temporal constraints of the surgical workflow: (1) HMM-based and (2) LSTM-based pipelines.

Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data

1 code implementation10 Feb 2016 Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy

Proposed methods for the operating room (OR) rely either on foreground estimation using a multi-camera system, which is a challenge in real ORs due to color similarities and frequent illumination changes, or on wearable sensors or markers, which are invasive and therefore difficult to introduce in the room.

Pose Estimation

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