Ikboljon Sobirov

According to our database, Ikboljon Sobirov authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation.

Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub

CoRR, 2024

HuLP: Human-in-the-Loop for Prognosis.

Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

CoRR, 2024

Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks.

Fadillah A. Maani, Anees Ur Rehman Hashmi, Mariam Aljuboory, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

CoRR, 2024

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows.

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác

CoRR, 2024

2023

MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models.

Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub

Medical Image Anal., December, 2023

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem.

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác

CoRR, 2023

LegoNet: Alternating Model Blocks for Medical Image Segmentation.

Ikboljon Sobirov, Cheng Xie, Muhammad Siddique, Parijat Patel, Kenneth Chan, Thomas Halborg, Christos Kotanidis, Zarqiash Fatima, Henry West, Keith Channon, Stefan Neubauer, Charalambos Antoniades, Mohammad Yaqub

CoRR, 2023

Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence.

Ikboljon Sobirov

CoRR, 2023

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands.

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác

IEEE Access, 2023

Super Images - A New 2D Perspective on 3D Medical Imaging Analysis.

Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

2022

Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis.

Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub

CoRR, 2022

Object Detection in Aerial Images: What Improves the Accuracy?

Hashmat Shadab Malik, Ikboljon Sobirov, Abdelrahman Mohamed

CoRR, 2022

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?

Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction.

Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data.

Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit.

Mahmoud Aldraimli, Nodira Nazyrova, Abdumalik Djumanov, Ikboljon Sobirov, Thierry J. Chaussalet

Proceedings of the Contemporary Methods in Bioinformatics and Biomedicine and Their Applications, 2020