V. A. Gombolevsky

Orcid: 0000-0003-1816-1315

According to our database1, V. A. Gombolevsky authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.
CoRR, 2024

The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography.
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

2023
Interpretable vertebral fracture quantification via anchor-free landmarks localization.
Medical Image Anal., 2023

Predicting COVID-19 and pneumonia complications from admission texts.
CoRR, 2023

2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical Image Anal., 2021

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.
J. Imaging, 2021

A simplified cluster model and a tool adapted for collaborative labeling of lung cancer CT scans.
Comput. Methods Programs Biomed., 2021

Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2020
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset.
CoRR, 2020

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database.
CoRR, 2019

Clinical acceptance of software based on artificial intelligence technologies (radiology).
CoRR, 2019

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019


  Loading...