Mohammad Yaqub

198 papers A 6Journal 114Unranked 75

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos. CoRR Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xian, Hongxing Lin, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li
2026	J	`jnl`	Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos. Medical Image Anal. Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Tom Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xia, Hongxing Li, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li
2026	J	`jnl`	Continual Learning in Medical Imaging: A Survey and Practical Analysis. ACM Comput. Surv. Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev, Ibrahim Almakky, Numan Saeed, Camila González, Mohammad Yaqub
2026	J	`jnl`	FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation. CoRR Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md. Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir
2026	J	`jnl`	Federated learning on magnetic resonance imaging: a critical review. Artif. Intell. Rev. Emmanouil Markodimitrakis, Eleftherios Trivizakis, Georgios S. Ioannidis, Emmanouil Koutoulakis, Manolis Tsiknakis, Nikolaos Papanikolaou, Michail E. Klontzas, Mohammad Yaqub, Kostas Marias
2026	J	`jnl`	IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry. Medical Image Anal. Jieyun Bai, Yitong Tang, Xiao Liu, Jiale Hu, Yunda Li, Xufan Chen, Yufeng Wang, Chen Ma, Yunshu Li, Bowen Guo, Jing Jiao, Yi Huang, Kun Wang, Lifei Li, Yuzhang Ma, Xiaoxin Han, Haochen Shao, Zi Yang, Qingchen Liu, Yuchen Hu, Jingfan Kuang, Shanglin Song, Anirvan Krishna, Zaid Ahmed Khan, Zelan Li, Zhengyang Zhang, Hansen Zhang, Yan Cheng, Xuezhi Zhang, Xi Chen, Hao Yan, Lyuyang Tong, Bo Du, Bo Deng, Yu Chen, Zilun Peng, Saeid Rezaei, Jie Gan, Weidong Cai, Fangyijie Wang, Kathleen M. Curran, Guenole C. M. Silvestre, Isaac Khobo, Yaosheng Lu, Dong Ni, Yuxin Huang, Mohammad Yaqub, Jun Ma, Karim Lekadir, Shuo Li
2026	—	`ed.`	Intrapartum Ultrasound - MICCAI 2025 Grand Challenge, IUGC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings IUGC@MICCAI Jieyun Bai, Yuxin Huang, Isaac Khobo, Mohammad Yaqub, Karim Lekadir, Dong Ni, Shuo Li
2026	J	`jnl`	MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage. CoRR Ufaq Khan, Umair Nawaz, L. D. M. S. S. Teja, Numaan Saeed, Muhammad Bilal, Yutong Xie, Mohammad Yaqub, Muhammad Haris Khan
2026	J	`jnl`	MobileFetalCLIP: Selective Repulsive Knowledge Distillation for Mobile Fetal Ultrasound Analysis. CoRR Numan Saeed, Fadillah Adamsyah Maani, Mohammad Yaqub
2025	J	`jnl`	A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025	J	`jnl`	Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings. CoRR Dongli He, Hu Wang, Mohammad Yaqub
2025	J	`jnl`	Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images. CoRR Sevim Cengiz, Ibraheem Hamdi, Mohammad Yaqub
2025	—	`conf`	BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI. LISA@MICCAI Alya Almsouti, Ainur Khamitova, Darya Taratynova, Mohammad Yaqub
2025	J	`jnl`	BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI. CoRR Alya Almsouti, Ainur Khamitova, Darya Taratynova, Mohammad Yaqub
2025	J	`jnl`	Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning. CoRR Mohammad Areeb Qazi, Maryam Nadeem, Mohammad Yaqub
2025	J	`jnl`	Breaking Down the Hierarchy: A New Approach to Leukemia Classification. CoRR Ibraheem Hamdi, Hosam El-Gendy, Ahmed Sharshar, Mohamed Saeed, Muhammad Ridzuan, Shahrukh K. Hashmi, Naveed Syed, Imran Mirza, Shakir Hussain, Amira Mahmoud Abdalla, Mohammad Yaqub
2025	—	`conf`	Can Language-Guided Unsupervised Adaptation Improve Medical Image Classification Using Unpaired Images and Texts? ISBI Umaima Rahman, Raza Imam, Mohammad Yaqub, Boulbaba Ben Amor, Dwarikanath Mahapatra
2025	J	`jnl`	CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab? CoRR Darya Taratynova, Ahmed Aly, Numan Saeed, Mohammad Yaqub
2025	—	`conf`	ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis. MICCAI (12) Salma Hassan, Mostafa Salem, Vijay Ram Papineni, Ayman ElSayed, Mohammad Yaqub
2025	A	`conf`	ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization. WACV Aleksandr Matsun, Numan Saeed, Fadillah Adamsyah Maani, Mohammad Yaqub
2025	—	`conf`	DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection. MICCAI (12) Mostafa Salem, Salma Hassan, Vijay Ram Papineni, Ayman ElSayed, Mohammad Yaqub
2025	—	`conf`	Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation Under Shift. UNSURE@MICCAI Umaima Rahman, Raza Imam, Mohammad Yaqub, Dwarikanath Mahapatra
2025	J	`jnl`	Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift. CoRR Umaima Rahman, Raza Imam, Mohammad Yaqub, Dwarikanath Mahapatra
2025	J	`jnl`	Deep Learning-Based Automated Segmentation of Uterine Myomas. CoRR Tausifa Jan Saleem, Mohammad Yaqub
2025	—	`conf`	DiFUSAL: Diffusion-Based Fetal Ultrasound Synthesis with Active Learning. ASMUS@MICCAI Maryam Arjemandi, Salma Hassan, Hu Wang, Saudabi Valappi, Mohammad Yaqub
2025	J	`jnl`	DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation. CoRR Umaima Rahman, Mohammad Yaqub, Dwarikanath Mahapatra
2025	J	`jnl`	DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis. CoRR Numan Saeed, Tausifa Jan Saleem, Fadillah A. Maani, Muhammad Ridzuan, Hu Wang, Mohammad Yaqub
2025	J	`jnl`	EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision. CoRR Ahmed Jaheen, Abdelrahman Elsayed, Damir Kim, Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji, Mostafa Salem, Hu Wang, Sarim Hashmi, Mohammad Yaqub
2025	—	`conf`	EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-saharan Africa Using MedNeXt V2 with Deep Supervision. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Ahmed Jaheen, Abdelrahman Elsayed, Damir Kim, Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji, Mostafa Salem, Hu Wang, Sarim Hashmi, Mohammad Yaqub
2025	J	`jnl`	Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis. CoRR Numan Saeed, Shahad Hardan, Muhammad Ridzuan, Nada Saadi, Karthik Nandakumar, Mohammad Yaqub
2025	J	`jnl`	FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound. CoRR Hussain Alasmawi, Numan Saeed, Mohammad Yaqub
2025	—	`conf`	FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning. CVPR Workshops Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar
2025	J	`jnl`	FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis. CoRR Fadillah Maani, Numan Saeed, Tausifa Jan Saleem, Zaid Farooq, Hussain Alasmawi, Werner Diehl, Ameera Mohammad, Gareth Waring, Saudabi Valappi, Leanne Bricker, Mohammad Yaqub
2025	—	`conf`	Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. MICCAI (3) Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub
2025	J	`jnl`	Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. CoRR Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub
2025	J	`jnl`	In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models. CoRR Hu Wang, Ibrahim Almakky, Congbo Ma, Numan Saeed, Mohammad Yaqub
2025	J	`jnl`	Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning. CoRR Hu Wang, Congbo Ma, Ian D. Reid, Mohammad Yaqub
2025	—	`conf`	LEXU: Learning from Expert Disagreement for Single-Pass Uncertainty Estimation in Medical Image Segmentation. UNSURE@MICCAI Kudaibergen Abutalip, Numan Saeed, Fadillah A. Maani, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub
2025	A	`conf`	Learning Confident Classifiers in the Presence of Label Noise. SDM Asma Ahmed Hashmi, Aigerim Zhumabayeva, Nikita Kotelevskii, Artem Agafonov, Mohammad Yaqub, Maxim Panov, Martin Takác
2025	J	`jnl`	MAFM^3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI. CoRR Mohammad Areeb Qazi, Munachiso S. Nwadike, Ibrahim Almakky, Mohammad Yaqub, Numan Saeed
2025	—	`conf`	MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer. MICCAI (14) Salma Hassan, Mostafa Salem, Vijay Ram Papineni, Ayman ElSayed, Mohammad Yaqub
2025	—	`conf`	MISFIT: Modality Inference via Style Fusion and Invertible Translation for Cross-Modality Synthesis of 3D MRI Volumes. BraTS-Lighthouse/AIMS-TBI@MICCAI (2) Mohor Banerjee, Qiankun Ji, Sarim Hashmi, Abdelrahman Elsayed, Daniil Tikhonov, Matheus Scatolin, Ahmed Jaheen, Damir Kim, Hu Wang, Mostafa Salem, Mohammad Yaqub
2025	J	`jnl`	MMRINet: Efficient Mamba-Based Segmentation with Dual-Path Refinement for Low-Resource MRI Analysis. CoRR Abdelrahman Elsayed, Ahmed Jaheen, Mohammad Yaqub
2025	—	`conf`	MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering. MICCAI (6) Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni, Mohammad Yaqub
2025	J	`jnl`	MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering. CoRR Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni, Mohammad Yaqub
2025	—	`conf`	MedNNS: Supernet-Based Medical Task-Adaptive Neural Network Search. MICCAI (6) Lotfi Abdelkrim Mecharbat, Ibrahim Almakky, Martin Takác, Mohammad Yaqub
2025	J	`jnl`	MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search. CoRR Lotfi Abdelkrim Mecharbat, Ibrahim Almakky, Martin Takác, Mohammad Yaqub
2025	—	`conf`	Noise is an Efficient Learner for Zero-Shot Vision-Language Models. ICCVW Raza Imam, Asif Hanif, Jian Zhang, Khaled Waleed Dawoud, Yova Kementchedjhieva, Mohammad Yaqub
2025	J	`jnl`	Noise is an Efficient Learner for Zero-Shot Vision-Language Models. CoRR Raza Imam, Asif Hanif, Jian Zhang, Khaled Waleed Dawoud, Yova Kementchedjhieva, Mohammad Yaqub
2025	—	`conf`	Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease. ICCVW Ahmed Sharshar, Yasser Ashraf, Tameem Bakr, Salma Hassan, Hosam Elgendy, Mohammad Yaqub, Mohsen Guizani
2025	J	`jnl`	Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease. CoRR Ahmed Sharshar, Yasser Ashraf, Tameem Bakr, Salma Hassan, Hosam El-Gendy, Mohammad Yaqub, Mohsen Guizani
2025	—	`conf`	On the Robustness of Medical Vision-Language Models: Are They Truly Generalizable? MIUA (1) Raza Imam, Rufael Marew, Mohammad Yaqub
2025	J	`jnl`	On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? CoRR Raza Imam, Rufael Marew, Mohammad Yaqub
2025	—	`conf`	PlasmoStage: A Hierarchical Deep Learning Framework for Plasmodium Parasite Staging in Malaria. MeMeA Mostafa Salem, Saad Abouzahir, Hosni Ghedira, Abdulmotaleb El Saddik, Mohammad Yaqub
2025	J	`jnl`	Predicting Brain Tumor Response to Therapy using a Hybrid Deep Learning and Radiomics Approach. CoRR Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji, Ahmed Jaheen, Mostafa Salem, Abdelrahman Elsayed, Hu Wang, Sarim Hashmi, Mohammad Yaqub
2025	J	`jnl`	PulmoFusion: Advancing Pulmonary Health with Efficient Multi-Modal Fusion. CoRR Ahmed Sharshar, Yasser Attia, Mohammad Yaqub, Mohsen Guizani
2025	—	`conf`	Pulmofusion: Advancing Pulmonary Health with Efficient Multi-Modal Fusion. ISBI Ahmed Sharshar, Yasser Attia, Mohammad Yaqub, Mohsen Guizani
2025	J	`jnl`	RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation. CoRR Nuren Zhaksylyk, Ibrahim Almakky, Jay N. Paranjape, S. Swaroop Vedula, Shameema Sikder, Vishal M. Patel, Mohammad Yaqub
2025	J	`jnl`	SALT: Singular Value Adaptation with Low-Rank Transformation. CoRR Abdelrahman Elsayed, Sarim Hashmi, Mohammed Elseiagy, Hu Wang, Mohammad Yaqub, Ibrahim Almakky
2025	J	`jnl`	Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds. CoRR David Vallmanya Poch, Yorick Estievenart, Elnura Zhalieva, Sukanya Patra, Mohammad Yaqub, Souhaib Ben Taieb
2025	—	`conf`	Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans. MIUA (3) Ikboljon Sobirov, Cheng Xie, Muhammad Siddique, Parijat Patel, Kenneth Chan, Thomas Halborg, Christos Kotanidis, Zarqaish Fatima, Henry West, Sheena Thomas, Maria Lyasheva, Donna Alexander, David Adlam, Praveen Rao, Das Indrajeet, Aparna Deshpande, Amrita Bajaj, Jonathan C. L. Rodrigues, Benjamin J. Hudson, Vivek Srivastava, George Krasopoulos, Rana Sayeed, Qiang Zhang, Pete Tomlins, Cheerag Shirodaria, Keith M. Channon, Stefan Neubauer, Charalambos Antoniades, Mohammad Yaqub
2025	J	`jnl`	T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis. CoRR Raza Imam, Hu Wang, Dwarikanath Mahapatra, Mohammad Yaqub
2025	J	`jnl`	TPA: Temporal Prompt Alignment for Fetal Congenital Heart Defect Classification. CoRR Darya Taratynova, Alya Almsouti, Beknur Kalmakhanbet, Numan Saeed, Mohammad Yaqub
2025	J	`jnl`	TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model. CoRR Ao Li, Yuxiang Duan, Jinghui Zhang, Congbo Ma, Yutong Xie, Gustavo Carneiro, Mohammad Yaqub, Hu Wang
2025	J	`jnl`	UNICON: UNIfied CONtinual Learning for Medical Foundational Models. CoRR Mohammad Areeb Qazi, Munachiso S. Nwadike, Ibrahim Almakky, Mohammad Yaqub, Numan Saeed
2025	J	`jnl`	crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. CoRR Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria G. Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Ji-Wung Han, Li Zhang, Jonathan Shapey, Tom Vercauteren
2024	—	`conf`	A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. CoRR Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks. CoRR Fadillah A. Maani, Anees Ur Rehman Hashmi, Mariam Aljuboory, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
2024	J	`jnl`	CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2024	—	`conf`	CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis. MICCAI (4) Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub
2024	J	`jnl`	CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis. CoRR Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub
2024	J	`jnl`	Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis. CoRR Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev, Ibrahim Almakky, Numan Saeed, Mohammad Yaqub
2024	J	`jnl`	Corrections to "RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning". IEEE Access Ahmed Sharshar, Muhammad Sharshar, Hosam Elhady, Ahmed Aboeitta, Youssef Nafea, Yasser Ashraf, Mohammad Yaqub, Mohsen Guizani
2024	—	`conf`	DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. MIUA (1) Mohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub
2024	J	`jnl`	DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. CoRR Mohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub
2024	—	`conf`	Dynamic Dashboard for Malaria Control: Integrating Climate Factors for Comprehensive Monitoring. MeMeA Saad Abouzahir, Sharim Jamal, Abdulmotaleb El Saddik, Mohammad Yaqub, Hosni Ghedira
2024	J	`jnl`	EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. CoRR Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub
2024	J	`jnl`	Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models. CoRR Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub
2024	—	`conf`	Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models. ISBI Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub
2024	J	`jnl`	FedRISE: Rating Induced Sign Election of Gradients for Byzantine Tolerant Federated Aggregation. CoRR Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text. CoRR Mai A. Shaaban, Abbas Akkasi, Adnan Khan, Majid Komeili, Mohammad Yaqub
2024	—	`conf`	FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis. MICCAI (12) Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
2024	J	`jnl`	FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis. CoRR Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
2024	—	`conf`	GUARDIAN: Guarding Against Uncertainty and Adversarial Risks in Robot-Assisted Surgeries. UNSURE@MICCAI Ufaq Khan, Umair Nawaz, Tooba T. Sheikh, Asif Hanif, Mohammad Yaqub
2024	—	`conf`	HuLP: Human-in-the-Loop for Prognosis. MICCAI (5) Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
2024	J	`jnl`	HuLP: Human-in-the-Loop for Prognosis. CoRR Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
2024	J	`jnl`	Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos. CoRR Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
2024	—	`conf`	MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network. MOVI@MICCAI Hussam Azzuni, Abdulmotaleb El Saddik, Mohammad Yaqub, Min Xu
2024	J	`jnl`	MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study. CoRR Salma Hassan, Dawlat Akaila, Maryam Arjemandi, Vijay Ram Papineni, Mohammad Yaqub
2024	J	`jnl`	MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks. CoRR Ibrahim Almakky, Santosh Sanjeev, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
2024	—	`conf`	MedPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
2024	J	`jnl`	MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis. CoRR Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
2024	—	`conf`	Multi-task Weakly Supervised Intrapartum Ultrasound Measurements. IUGC@MICCAI Salem AlNasi, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub
2024	J	`jnl`	On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks. CoRR Fadillah A. Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub
2024	—	`conf`	On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. ISBI Fadillah Adamsyah Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub
2024	A	`conf`	On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. BMVC Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman Khan, Fahad Shahbaz Khan
2024	J	`jnl`	On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. CoRR Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman H. Khan, Fahad Shahbaz Khan
2024	J	`jnl`	Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics. CoRR Sarim Hashmi, Juan Lugo, Abdelrahman Elsayed, Dinesh Saggurthi, Mohammed Elseiagy, Alikhan Nurkamal, Jaskaran Walia, Fadillah Adamsyah Maani, Mohammad Yaqub
2024	—	`conf`	PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. MICCAI (12) Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. CoRR Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning. IEEE Access Ahmed Sharshar, Muhammad Sharshar, Hosam Elhady, Ahmed Aboeitta, Youssef Nafea, Yasser Ashraf, Mohammad Yaqub, Mohsen Guizani
2024	J	`jnl`	Rethinking Weight-Averaged Model-merging. CoRR Hu Wang, Congbo Ma, Ibrahim Almakky, Ian Reid, Gustavo Carneiro, Mohammad Yaqub
2024	—	`conf`	SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub
2024	J	`jnl`	SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CoRR Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub
2024	—	`conf`	SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub
2024	J	`jnl`	SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub
2024	—	`conf`	TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation. DGM4MICCAI@MICCAI Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub
2024	J	`jnl`	TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation. CoRR Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub
2024	J	`jnl`	TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. CoRR Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu
2024	J	`jnl`	XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. CoRR Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi, Santosh Sanjeev, Vijay Ram Papineni, Dwarikanath Mahapatra, Mohammad Yaqub
2024	J	`jnl`	Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. CoRR Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub, Min Xu, Mohsen Guizani
2024	—	`conf`	iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing. SemEval@NAACL Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub
2023	—	`conf`	Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks. BraTS/CrossMoDA@MICCAI Fadillah A. Maani, Anees Ur Rehman Hashmi, Mariam Aljuboory, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
2023	—	`conf`	Breaking down the Hierarchy: A New Approach to Leukemia Classification. AMAI@MICCAI Ibraheem Hamdi, Hosam El-Gendy, Ahmed Sharshar, Mohamed Saeed, Muhammad Ridzuan, Shahrukh K. Hashmi, Naveed Syed, Imran Mirza, Shakir Hussain, Amira Mahmoud Abdalla, Mohammad Yaqub
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	—	`conf`	DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. DART@MICCAI Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub
2023	J	`jnl`	DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. CoRR Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub
2023	J	`jnl`	FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning. CoRR Hussain Alasmawi, Leanne Bricker, Mohammad Yaqub
2023	—	`conf`	FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
2023	J	`jnl`	FUSQA: Fetal Ultrasound Segmentation Quality Assessment. CoRR Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
2023	J	`jnl`	Improving Performance of Private Federated Models in Medical Image Analysis. CoRR Xiangjian Hou, Sarit Khirirat, Mohammad Yaqub, Samuel Horváth
2023	J	`jnl`	In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise. CoRR Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác
2023	J	`jnl`	LegoNet: Alternating Model Blocks for Medical Image Segmentation. CoRR 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
2023	—	`conf`	Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. ASMUS@MICCAI Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
2023	—	`conf`	Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar
2023	J	`jnl`	MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. CoRR Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub
2023	J	`jnl`	MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. Medical Image Anal. Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub
2023	J	`jnl`	Machine learning for accurate estimation of fetal gestational age based on ultrasound images. npj Digit. Medicine Lok Hin Lee, Elizabeth Bradburn, Rachel Craik, Mohammad Yaqub, Shane A. Norris, Leila Cheikh Ismail, Eric O. Ohuma, Fernando C. Barros, Ann Lambert, Maria Carvalho, Yasmin A. Jaffer, Michael Gravett, Manorama Purwar, Qingqing Wu, Enrico Bertino, Shama Munim, Aung Myat Min, Zulfiqar Bhutta, José Villar, Stephen H. Kennedy, J. Alison Noble, Aris T. Papageorghiou
2023	J	`jnl`	Multi-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans. CoRR Mohammad Areeb Qazi, Mohammed Talha Alam, Ibrahim Almakky, Werner Gerhard Diehl, Leanne Bricker, Mohammad Yaqub
2023	—	`conf`	Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans. MICAD Mohammad Areeb Qazi, Mohammed Talha Alam, Ibrahim Almakky, Werner Gerhard Diehl, Leanne Bricker, Mohammad Yaqub
2023	—	`conf`	PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. MLMI@MICCAI (1) Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
2023	J	`jnl`	PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. CoRR Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
2023	J	`jnl`	Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation. CoRR Numan Saeed, Muhammad Ridzuan, Roba Al Majzoub, Mohammad Yaqub
2023	J	`jnl`	SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification. CoRR Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub
2023	—	`conf`	SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification. DART@MICCAI Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub
2023	—	`conf`	Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. MIUA Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub
2023	J	`jnl`	Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR 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
2023	J	`jnl`	UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training. CoRR Fadillah A. Maani, Asim Ukaye, Nada Saadi, Numan Saeed, Mohammad Yaqub
2023	J	`jnl`	Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub
2022	J	`jnl`	A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans. CoRR Ivo Gollini Navarrete, Mohammad Yaqub
2022	J	`jnl`	An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. CoRR Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub
2022	—	`conf`	Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images. ASMUS@MICCAI Sevim Cengiz, Ibraheem Hamdi, Mohammad Yaqub
2022	—	`conf`	Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? MIDL Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
2022	J	`jnl`	Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? CoRR Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
2022	J	`jnl`	Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches? CoRR Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarette, Ibrahim Almakky, Mohammad Yaqub
2022	J	`jnl`	Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. CoRR Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub
2022	—	`conf`	Contrastive Pretraining for Echocardiography Segmentation with Limited Data. MIUA Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
2022	—	`conf`	DRGen: Domain Generalization in Diabetic Retinopathy Classification. MICCAI (2) Mohammad Z. Atwany, Mohammad Yaqub
2022	J	`jnl`	Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey. IEEE Access Mohammad Z. Atwany, Abdulwahab Sahyoun, Mohammad Yaqub
2022	J	`jnl`	Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans. CoRR Sevim Cengiz, Mohammad Yaqub
2022	—	`conf`	EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. MICCAI (4) Rand Muhtaseb, Mohammad Yaqub
2022	J	`jnl`	EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. CoRR Rand Muhtaseb, Mohammad Yaqub
2022	—	`conf`	End-to-End Myocardial Infarction Classification from Echocardiographic Scans. ASMUS@MICCAI Mohamed Saeed, Mohammad Yaqub
2022	—	`conf`	GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images. OMIA@MICCAI Ahmed Al Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, Mohammad Yaqub
2022	A	`conf`	How to Train Vision Transformer on Small-scale Datasets? BMVC Hanan Gani, Muzammal Naseer, Mohammad Yaqub
2022	J	`jnl`	How to Train Vision Transformer on Small-scale Datasets? CoRR Hanan Gani, Muzammal Naseer, Mohammad Yaqub
2022	J	`jnl`	Hyperparameter Optimization for COVID-19 Chest X-Ray Classification. CoRR Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub
2022	J	`jnl`	Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images? CoRR Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
2022	—	`conf`	Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? MIDL Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
2022	J	`jnl`	Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? CoRR Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
2022	A	`conf`	On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. BMVC Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. CoRR Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis. CoRR Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub
2022	—	`conf`	Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. MICCAI (3) Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. CoRR Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. CoRR Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
2022	—	`conf`	Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. MIUA Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
2022	J	`jnl`	SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. CoRR Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
2022	—	`conf`	TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction. MICCAI (8) Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub
2022	J	`jnl`	TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction. CoRR Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub
2022	A	`conf`	TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. BMVC Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu
2022	—	`conf`	Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. BrainLes@MICCAI (2) Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub
2021	—	`conf`	An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. HECKTOR@MICCAI Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub
2021	—	`conf`	Automatic Fetal Gestational Age Estimation from First Trimester Scans. ASMUS@MICCAI Sevim Cengiz, Mohammad Yaqub
2021	—	`conf`	Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
2021	—	`ed.`	Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings MIUA Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble
2020	J	`jnl`	A High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery. Remote. Sens. Alejandra Mora-Soto, Mauricio Palacios, Erasmo C. Macaya, Iván Gómez, Pirjo Huovinen, Alejandro Pérez-Matus, Mary Young, Neil Golding, Martin Toro, Mohammad Yaqub, Marc Macias-Fauria
2020	—	`conf`	Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. ASMUS/PIPPI@MICCAI Helena Williams, Laura Cattani, Mohammad Yaqub, Carole H. Sudre, Tom Vercauteren, Jan Deprest, Jan D'hooge
2020	—	`ed.`	Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings MIUA Bartlomiej W. Papiez, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
2018	J	`jnl`	Flower classification using deep convolutional neural networks. IET Comput. Vis. Hazem Hiary, Heba Saadeh, Maha Saadeh, Mohammad Yaqub
2018	J	`jnl`	Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Anal. Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble
2016	—	`conf`	Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment. MLMI@MICCAI Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Fenella Roseman, Aris T. Papageorghiou, J. Alison Noble
2016	J	`jnl`	Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain. IEEE J. Biomed. Health Informatics Mohammad Yaqub, Sylvia Rueda, Anil Kopuri, Pedro Melo, Aris T. Papageorghiou, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble
2015	—	`conf`	Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images. MIUA Ruobing Huang, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
2015	—	`conf`	Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans. MICCAI (3) Mohammad Yaqub, Brenda Kelly, Aris T. Papageorghiou, J. Alison Noble
2015	J	`jnl`	Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Anal. Ana I. L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble
2014	—	`conf`	A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation. MLMI Mohammad Yaqub, Anil Kopuri, Sylvia Rueda, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble
2014	J	`jnl`	Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub, Aris T. Papageorghiou, Bahbibi Rahmatullah, Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Jussi Tohka, Richard V. Stebbing, John McManigle, Anca Ciurte, Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, Gennady V. Ponomarev, Mikhail S. Gelfand, Marat D. Kazanov, Ching-Wei Wang, Hsiang-Chou Chen, Chun-Wei Peng, Chu-Mei Hung, J. Alison Noble
2014	J	`jnl`	Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation. IEEE Trans. Medical Imaging Mohammad Yaqub, M. Kassim Javaid, Cyrus Cooper, J. Alison Noble
2014	—	`conf`	Predicting Fetal Neurodevelopmental Age from Ultrasound Images. MICCAI (2) Ana Ineyda Luisa Namburete, Mohammad Yaqub, Bryn Kemp, Aris T. Papageorghiou, J. Alison Noble
2013	—	`conf`	Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography. MCV Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble
2013	—	`conf`	Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound. MLMI Mohammad Yaqub, Rémi Cuingnet, Raffaele Napolitano, David Roundhill, Aris T. Papageorghiou, Roberto Ardon, J. Alison Noble
2013	—	`conf`	Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound. ISBI Rémi Cuingnet, Oudom Somphone, Benoit Mory, Raphael Prevost, Mohammad Yaqub, Raffaele Napolitano, Aris T. Papageorghiou, David Roundhill, J. Alison Noble, Roberto Ardon
2012	—	`conf`	Automatic detection of local fetal brain structures in ultrasound images. ISBI Mohammad Yaqub, Raffaele Napolitano, Christos Ioannou, Aris T. Papageorghiou, J. Alison Noble
2012	—	`conf`	Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests. MCV Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble
2011	—	`conf`	Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation. MLMI Mohammad Yaqub, M. Kassim Javaid, Cyrus Cooper, J. Alison Noble
2011	—	`conf`	Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography. MLMI Michael Verhoek, Mohammad Yaqub, John McManigle, J. Alison Noble