Numan Saeed

According to our database, Numan Saeed authored at least 24 papers between 2014 and 2024.

Collaborative distances:

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

2024

On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models.

Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman H. Khan, Fahad Shahbaz Khan

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

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

SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast.

Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation.

Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network.

Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis.

Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks.

Fadillah Adamsyah Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

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

Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation.

Numan Saeed, Muhammad Ridzuan, Roba Al Majzoub, Mohammad Yaqub

CoRR, 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, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc

CoRR, 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

Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training.

Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El-Saddik

Proceedings of the Medical Imaging with Deep Learning, 2023

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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub

CoRR, 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

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

2016

Automatic protocol configuration in single-channel low-power dynamic signaling for IoT devices.

Shahzad Muzaffar, Numan Saeed, Ibrahim M. Elfadel

Proceedings of the 2016 IFIP/IEEE International Conference on Very Large Scale Integration, 2016

2014

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

Proceedings of the Ninth International Conference on Broadband and Wireless Computing, 2014