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Showing 141 results for "pascal ochem" in Engineering
Engineering Preprint PDF DOI

Cardiac valve event timing in echocardiography using deep learning and triplane recordings

Benjamin Strandli Fermann, John Nyberg, Espen W. Remme, Jahn Frederik Grue, Helen Grue, Roger H{aa}land, Lasse Lovstakken, H{aa}vard Dalen, Bj{o}rnar Grenne, Svein Arne Aase, Sten Roar Snar, Andreas {O}stvik ยท 2024

Cardiac valve event timing plays a crucial role when conducting clinical measurements using echocardiography. However, established automated approaches are limited by the need of external electrocardiโ€ฆ

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Engineering Preprint PDF DOI

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Xiongri Shen, Zhenxi Song, Zhiguo Zhang ยท 2024

Diagnosis of mild cognitive impairment (MCI) and subjective cognitive decline (SCD) from fMRI functional connectivity (FC) has gained popularity, but most FC-based diagnostic models are black boxes laโ€ฆ

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Separation of biocrude produced from hydrothermal liquefaction of faecal sludge without any solvent

H M Fairooz Adnan, Md Khalekuzzaman, Md. Atik Fayshal, Md. Mehedi Hasan ยท 2024

In this study faecal sludge is used as raw biomass due to its abundance, low cost, and easy availability. After HTL operation, product separation is getting challenging. Current developed studies obseโ€ฆ

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Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data

Pieter Van Leemput, Johannes Keustermans, Wouter Mollemans ยท 2024

This article describes the clinical validation study setup, statistical analysis and results for a deep learning algorithm which detects dental anomalies in intraoral radiographic images, more specifiโ€ฆ

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Assessment of the area measurement on Cartosat-1 image

Joanna Pluto-Kossakowska, David Grandgirard (INTERACT), Rafal Zielinski (JRC), Simon Kay (JRC) ยท 2024

The goal of this study was the evaluation of agriculture parcel area measurement accuracy on Cartosat-1 imagery, and the determination of the technical tolerance appropriate for measurement using photโ€ฆ

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Engineering Preprint PDF DOI

IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multi-Robot Systems Through Communication Eavesdropping

Sanjay Oruganti, Ramviyas Parasuraman, Ramana Pidaparti ยท 2023

Multi-agent and multi-robot systems (MRS) often rely on direct communication for information sharing. This work explores an alternative approach inspired by eavesdropping mechanisms in nature that invโ€ฆ

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Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing

Daniil S. Antonenko, Stepan Konev, Yuriy Biktairov, Boris Yangel ยท 2023

Accurate and reliable motion prediction is essential for safe urban autonomy. The most prominent motion prediction approaches are based on modeling the distribution of possible future trajectories of โ€ฆ

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Engineering Preprint PDF DOI

Corner-to-Center Long-range Context Model for Efficient Learned Image Compression

Yang Sui, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Bo Yuan, Zhenzhong Chen ยท 2023

In the framework of learned image compression, the context model plays a pivotal role in capturing the dependencies among latent representations. To reduce the decoding time resulting from the serial โ€ฆ

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Engineering Preprint PDF DOI

Bin Assignment and Decentralized Path Planning for Multi-Robot Parcel Sorting

Teng Guo, Jingjin Yu ยท 2023

At modern warehouses, mobile robots transport packages and drop them into collection bins/chutes based on shipping destinations grouped by, e.g., the ZIP code. System throughput, measured as the numbeโ€ฆ

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NTT speaker diarization system for CHiME-7: multi-domain, multi-microphone End-to-end and vector clustering diarization

Naohiro Tawara, Marc Delcroix, Atsushi Ando, Atsunori Ogawa ยท 2023

This paper details our speaker diarization system designed for multi-domain, multi-microphone casual conversations. The proposed diarization pipeline uses weighted prediction error (WPE)-based dereverโ€ฆ

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Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory

Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos ยท 2023

Achieving real-time capability is an essential prerequisite for the industrial implementation of nonlinear model predictive control (NMPC). Data-driven model reduction offers a way to obtain low-orderโ€ฆ

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Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer

Zihao Chen, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun ยท 2023

Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucialโ€ฆ

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Distance preservation in state-space methods for detecting causal interactions in dynamical systems

Matthew O'Shaughnessy, Mark Davenport, Christopher Rozell ยท 2023

We analyze the popular ``state-space'' class of algorithms for detecting casual interaction in coupled dynamical systems. These algorithms are often justified by Takens' embedding theorem, which proviโ€ฆ

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DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving

Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li ยท 2023

End-to-end autonomous driving aims to build a fully differentiable system that takes raw sensor data as inputs and directly outputs the planned trajectory or control signals of the ego vehicle. State-โ€ฆ

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Sparse annotation strategies for segmentation of short axis cardiac MRI

Josh Stein, Maxime Di Folco, Julia Schnabel ยท 2023

Short axis cardiac MRI segmentation is a well-researched topic, with excellent results achieved by state-of-the-art models in a supervised setting. However, annotating MRI volumes is time-consuming anโ€ฆ

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Phase Unwrapping of Color Doppler Echocardiography using Deep Learning

Hang Jung Ling, Olivier Bernard, Nicolas Ducros, Damien Garcia ยท 2023

Color Doppler echocardiography is a widely used non-invasive imaging modality that provides real-time information about the intracardiac blood flow. In an apical long-axis view of the left ventricle, โ€ฆ

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Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?

Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard ยท 2023

Deep learning-based methods have spearheaded the automatic analysis of echocardiographic images, taking advantage of the publication of multiple open access datasets annotated by experts (CAMUS being โ€ฆ

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Engineering Preprint PDF DOI

Development of IoT Smart Greenhouse System for Hydroponic Gardens

Arcel Christian H. Austria, John Simon Fabros, Kurt Russel G. Sumilang, Jocelyn Bernardino, Anabella C. Doctor ยท 2023

This study focused on the development of a smart greenhouse system for hydroponic gardens with the adaptation of the Internet of Things and monitored through mobile as one of the solutions towards theโ€ฆ

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SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos

John Z. Zhang, Shuo Yang, Gengshan Yang, Arun L. Bishop, Deva Ramanan, Zachary Manchester ยท 2023

We present SLoMo: a first-of-its-kind framework for transferring skilled motions from casually captured "in the wild" video footage of humans and animals to legged robots. SLoMo works in three stages:โ€ฆ

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Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation using Mobile U-Net

Meghan Muldoon, Naimul Khan ยท 2023

Accurate LVEF measurement is important in clinical practice as it identifies patients who may be in need of life-prolonging treatments. This paper presents a deep learning based framework to automaticโ€ฆ

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