TSDDR: Threshold Sensitive Density Controlled Divide and Rule Routing Protocol for Wireless Sensor Networks. - Muzammil Behzad; Nadeem Javaid; A. Sana; Mahmood Ashraf Khan; Numan Saeed; Zahoor Ali Khan; Umar Qasim (BWCCA, 2014)

Automatic protocol configuration in single-channel low-power dynamic signaling for IoT devices. - Shahzad Muzaffar; Numan Saeed; Ibrahim M. Elfadel (VLSI-SoC, 2016)

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)

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? - Numan Saeed; Shahad Hardan; Kudaibergen Abutalip; Mohammad Yaqub (MIDL, 2022)

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

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 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)

Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training. - Kudaibergen Abutalip; Numan Saeed; Mustaqeem Khan 001; Abdulmotaleb El-Saddik (MIDL, 2023)

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

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. - Aneeq Zia; Kiran Bhattacharyya; Xi Liu; Max Berniker; Ziheng Wang 003; Rogerio Nespolo; Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa; Bo Liu; David Austin; Yiheng Wang; et al. (CoRR, 2023)

Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation. - Numan Saeed; Muhammad Ridzuan; Roba Al Majzoub; Mohammad Yaqub (CoRR, 2023)

UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training. - Fadillah A. Maani; Asim Ukaye; Nada Saadi; Numan Saeed; Mohammad Yaqub (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)

On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. - Hashmat Shadab Malik; Numan Saeed; Asif Hanif; Muzammal Naseer; Mohammad Yaqub; Salman Khan 001; Fahad Shahbaz Khan (BMVC, 2024)

On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. - Fadillah Adamsyah Maani; Anees Ur Rehman Hashmi; Numan Saeed; Mohammad Yaqub (ISBI, 2024)

Multi-task Weakly Supervised Intrapartum Ultrasound Measurements. - Salem AlNasi; Arsen Abzhanov; Numan Saeed; Mohammad Yaqub (IUGC@MICCAI, 2024)

CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis. - Fadillah Adamsyah Maani; Numan Saeed; Aleksandr Matsun; Mohammad Yaqub (MICCAI (4), 2024)

SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. - Muhammad Ridzuan; Numan Saeed; Fadillah Adamsyah Maani; Karthik Nandakumar; Mohammad Yaqub (CaPTion@MICCAI, 2024)

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

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. - Nada Saadi; Numan Saeed; Mohammad Yaqub; Karthik Nandakumar (MICCAI (12), 2024)

SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. - Numan Saeed; Muhammad Ridzuan; Fadillah Adamsyah Maani; Hussain Alasmawi; Karthik Nandakumar; Mohammad Yaqub (MICCAI (5), 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)

Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis. - Mohammad Areeb Qazi; Anees Ur Rehman Hashmi; Santosh Sanjeev; Ibrahim Almakky; Numan Saeed; Mohammad Yaqub (CoRR, 2024)

ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization. - Aleksandr Matsun; Numan Saeed; Fadillah Adamsyah Maani; Mohammad Yaqub (WACV, 2025)

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis. - Fadillah Maani; Numan Saeed; Tausifa Jan Saleem; Zaid Farooq; Hussain Alasmawi; Werner Diehl; Ameera Mohammad; Gareth Waring; Saudabi Valappi; Leanne Bricker; Mohammad Yaqub (CoRR, 2025)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models. - Hu Wang 005; Ibrahim Almakky; Congbo Ma; Numan Saeed; Mohammad Yaqub (CoRR, 2025)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis. - Numan Saeed; Shahad Hardan; Muhammad Ridzuan; Nada Saadi; Karthik Nandakumar; Mohammad Yaqub (CoRR, 2025)

TPA: Temporal Prompt Alignment for Fetal Congenital Heart Defect Classification. - Darya Taratynova; Alya Almsouti; Beknur Kalmakhanbet; Numan Saeed; Mohammad Yaqub (CoRR, 2025)