output
20062026
most citedA review: Deep learning for medical image segmentation using multi-modality fusion

677 citations

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Showing 2024Show all

10 papers · 1 filter

math.OC2024

Quadratic versus Polynomial Unconstrained Binary Models for Quantum Optimization illustrated on Railway Timetabling

Camille Grange, Marion Lavignac, Valentina Pozzoli +1

Quantum Approximate Optimization Algorithm (QAOA) is one of the most short-term promising quantum-classical algorithm to solve unconstrained combinatorial optimization problems. It…

eess.SP2024

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks

Mathieu Seraphim, Alexis Lechervy, Florian Yger +2

Purpose: In sleep medicine, assessing the evolution of a subject's sleep often involves the costly manual scoring of electroencephalographic (EEG) signals. In recent years, a numbe…

cs.CV2024

Steering Prediction via a Multi-Sensor System for Autonomous Racing

Zhuyun Zhou, Zongwei Wu, Florian Bolli +5

Autonomous racing has rapidly gained research attention. Traditionally, racing cars rely on 2D LiDAR as their primary visual system. In this work, we explore the integration of an…

cs.AI2024★ 9 cited

DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents

Thomas Constum, Pierrick Tranouez, Thierry Paquet

Information extraction from handwritten documents involves traditionally three distinct steps: Document Layout Analysis, Handwritten Text Recognition, and Named Entity Recognition.…

cs.DS2024

Efficient Computation of Periods and Covers Using Sampling

Thierry Lecroq, Francesco Pio Marino

Identifying regularities in strings, such as \emph{periods} and \emph{covers}, is crucial for applications in text compression, computational biology, and pattern recognition. \emp…

cs.CV2024

MiSuRe is all you need to explain your image segmentation

Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean

The last decade of computer vision has been dominated by Deep Learning architectures, thanks to their unparalleled success. Their performance, however, often comes at the cost of e…