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 (BioInfoMed, 2020)

An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. - Numan Saeed; Roba Al Majzoub; Ikboljon Sobirov; Mohammad Yaqub (HECKTOR@MICCAI, 2021)

TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction. - Numan Saeed; Ikboljon Sobirov; Roba Al Majzoub; Mohammad Yaqub (MICCAI (8), 2022)

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? - Ikboljon Sobirov; Otabek Nazarov; Hussain Alasmawi; Mohammad Yaqub (MIDL, 2022)

Object Detection in Aerial Images: What Improves the Accuracy? - Hashmat Shadab Malik; Ikboljon Sobirov; Abdelrahman Mohamed (CoRR, 2022)

Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis. - Ikboljon Sobirov; Numan Saeed; Mohammad Yaqub (CoRR, 2022)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (ACML, 2023)

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 (BraTS/CrossMoDA@MICCAI, 2023)

Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. - Ikboljon Sobirov; Numan Saeed; Mohammad Yaqub (MIUA, 2023)

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (IEEE Access, 2023)

Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence. - Ikboljon Sobirov (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; et al. (CoRR, 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., 2023)

HuLP: Human-in-the-Loop for Prognosis. - Muhammad Ridzuan; Mai A. Shaaban; Numan Saeed; Ikboljon Sobirov; Mohammad Yaqub (MICCAI (5), 2024)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (CoRR, 2024)

HuLP: Human-in-the-Loop for Prognosis. - Muhammad Ridzuan; Mai Kassem; Numan Saeed; Ikboljon Sobirov; Mohammad Yaqub (CoRR, 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)

Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans. - Ikboljon Sobirov; Cheng Xie; Muhammad Siddique; Parijat Patel; Kenneth Chan; Thomas Halborg; Christos Kotanidis; Zarqaish Fatima; Henry West; Sheena Thomas; Maria Lyasheva; Donna Alexander; et al. (MIUA (3), 2025)