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ORCIDIkboljon Sobirov
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2020 – today
- 2024
[c7]Muhammad Ridzuan
, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
HuLP: Human-in-the-Loop for Prognosis. MICCAI (5) 2024: 328-338- [i13]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. CoRR abs/2402.09765 (2024) - [i12]Fadillah A. Maani, Anees Ur Rehman Hashmi, Mariam Aljuboory, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks. CoRR abs/2403.09262 (2024) - [i11]Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
HuLP: Human-in-the-Loop for Prognosis. CoRR abs/2403.13078 (2024) - [i10]Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub:
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. CoRR abs/2403.16594 (2024) - 2023
- [j2]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. IEEE Access 11: 87958-87969 (2023) - [j1]Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub:
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. Medical Image Anal. 90: 102989 (2023) - [c6]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. ACML 2023: 502-517 - [c5]Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub:
Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. MIUA 2023: 325-337 - [i9]Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub:
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. CoRR abs/2304.00774 (2023) - [i8]Ikboljon Sobirov:
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence. CoRR abs/2306.00034 (2023) - [i7]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:
LegoNet: Alternating Model Blocks for Medical Image Segmentation. CoRR abs/2306.03494 (2023) - [i6]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. CoRR abs/2311.07708 (2023) - 2022
- [c4]Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub:
TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction. MICCAI (8) 2022: 319-329 - [c3]Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub:
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? MIDL 2022: 1149-1161 - [i5]Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub:
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? CoRR abs/2201.06251 (2022) - [i4]Hashmat Shadab Malik, Ikboljon Sobirov, Abdelrahman Mohamed:
Object Detection in Aerial Images: What Improves the Accuracy? CoRR abs/2201.08763 (2022) - [i3]Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub:
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. CoRR abs/2202.12537 (2022) - [i2]Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub:
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis. CoRR abs/2205.02847 (2022) - [i1]Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub:
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction. CoRR abs/2209.05036 (2022) - 2021
- [c2]Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub:
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. HECKTOR@MICCAI 2021: 278-286 - 2020
- [c1]Mahmoud Aldraimli, Nodira Nazyrova, Abdumalik Djumanov, Ikboljon Sobirov, Thierry J. Chaussalet:
A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit. BioInfoMed 2020: 16-31
Coauthor Index
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last updated on 2024-11-15 20:37 CET by the dblp team
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