Vitali Liauchuk

Orcid: 0000-0001-9686-3705

According to our database1, Vitali Liauchuk authored at least 19 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022

2021

Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021


2020

Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation.
Proceedings of the Working Notes of CLEF 2020, 2020


2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical Image Anal., 2019


ImageCLEF 2019: Projection-based CT Image Analysis for TB Severity Scoring and CT Report Generation.
Proceedings of the Working Notes of CLEF 2019, 2019


Overview of ImageCLEFtuberculosis 2019 - Automatic CT-based Report Generation and Tuberculosis Severity Assessment.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018

ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis.
Proceedings of the Working Notes of CLEF 2018, 2018


Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification.
Proceedings of the Working Notes of CLEF 2017, 2017

Overview of ImageCLEF 2017: Information Extraction from Images.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances.
Proceedings of the Working Notes of CLEF 2017, 2017


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