Mohammad Yaqub

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 93

Top Venues

Publications

Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models. CoRR (2024)
Mohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. CoRR (2024)
Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR (2024)
Fadillah A. Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks. CoRR (2024)
Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis. CoRR (2024)
Mohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. MIUA (1) (2024)
Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos. CoRR (2024)
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
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92 (2024)
Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation. CoRR (2024)
Ibrahim Almakky, Santosh Sanjeev, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks. CoRR (2024)
Saad Abouzahir, Sharim Jamal, Abdulmotaleb El-Saddik, Mohammad Yaqub, Hosni Ghedira
Dynamic Dashboard for Malaria Control: Integrating Climate Factors for Comprehensive Monitoring. MeMeA (2024)
Mai A. Shaaban, Abbas Akkasi, Adnan Khan, Majid Komeili, Mohammad Yaqub
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text. CoRR (2024)
Ahmed Sharshar, Muhammad Sharshar, Hosam Elhady, Ahmed Aboeitta, Youssef Nafea, Yasser Ashraf, Mohammad Yaqub, Mohsen Guizani
RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning. IEEE Access 12 (2024)
Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. CoRR (2024)
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 (2024)
Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis. CoRR (2024)
Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. CoRR (2024)
Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi, Santosh Sanjeev, Vijay Ram Papineni, Dwarikanath Mahapatra, Mohammad Yaqub
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. CoRR (2024)
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 (2024)
Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev, Ibrahim Almakky, Numan Saeed, Mohammad Yaqub
Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis. CoRR (2024)
Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman H. Khan, Fahad Shahbaz Khan
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. CoRR (2024)
Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis. CoRR (2024)
Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
HuLP: Human-in-the-Loop for Prognosis. CoRR (2024)
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 (2023)
Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL (2023)
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
Breaking down the Hierarchy: A New Approach to Leukemia Classification. AMAI@MICCAI (2023)
Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. MLMI@MICCAI (1) (2023)
Xiangjian Hou, Sarit Khirirat, Mohammad Yaqub, Samuel Horváth
Improving Performance of Private Federated Models in Medical Image Analysis. CoRR (2023)
Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. CoRR (2023)
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
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar
Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops (2023)
Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. ASMUS@MICCAI (2023)
Fadillah Maani, Asim Ukaye, Nada Saadi, Numan Saeed, Mohammad Yaqub
UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training. CoRR (2023)
Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR (2023)
Numan Saeed, Muhammad Ridzuan, Roba Al Majzoub, Mohammad Yaqub
Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation. CoRR (2023)
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 (2023)
Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. DART@MICCAI (2023)
Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. CoRR (2023)
Mohammad Areeb Qazi, Mohammed Talha Alam, Ibrahim Almakky, Werner Gerhard Diehl, Leanne Bricker, Mohammad Yaqub
Multi-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans. CoRR (2023)
Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification. CoRR (2023)
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
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR (2023)
Hussain Alasmawi, Leanne Bricker, Mohammad Yaqub
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning. CoRR (2023)
Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise. CoRR (2023)
Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub
SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification. DART@MICCAI (2023)
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 (2023)
Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub
Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. MIUA (2023)
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
Machine learning for accurate estimation of fetal gestational age based on ultrasound images. npj Digit. Medicine 6 (2023)
Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. CoRR (2023)
Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. MIUA (2022)
Ivo Gollini Navarrete, Mohammad Yaqub
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans. CoRR (2022)
Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarette, Ibrahim Almakky, Mohammad Yaqub
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches? CoRR (2022)
Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? MIDL (2022)
Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? MIDL (2022)
Ahmed Al Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, Mohammad Yaqub
GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images. OMIA@MICCAI (2022)
Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
Contrastive Pretraining for Echocardiography Segmentation with Limited Data. MIUA (2022)
Mohammad Z. Atwany, Mohammad Yaqub
DRGen: Domain Generalization in Diabetic Retinopathy Classification. MICCAI (2) (2022)
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)
Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. CoRR (2022)
Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. MICCAI (3) (2022)
Sevim Cengiz, Ibraheem Hamdi, Mohammad Yaqub
Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images. ASMUS@MICCAI (2022)
Rand Muhtaseb, Mohammad Yaqub
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. CoRR (2022)
Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? CoRR (2022)
Mohamed Saeed, Mohammad Yaqub
End-to-End Myocardial Infarction Classification from Echocardiographic Scans. ASMUS@MICCAI (2022)
Hanan Gani, Muzammal Naseer, Mohammad Yaqub
How to Train Vision Transformer on Small-scale Datasets? BMVC (2022)
Hanan Gani, Muzammal Naseer, Mohammad Yaqub
How to Train Vision Transformer on Small-scale Datasets? CoRR (2022)
Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. CoRR (2022)
Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification. CoRR (2022)
Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. BMVC (2022)
Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. CoRR (2022)
Rand Muhtaseb, Mohammad Yaqub
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. MICCAI (4) (2022)
Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis. CoRR (2022)
Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. BMVC (2022)
Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. CoRR (2022)
Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? CoRR (2022)
Sevim Cengiz, Mohammad Yaqub
Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans. CoRR (2022)
Mohammad Z. Atwany, Abdulwahab Sahyoun, Mohammad Yaqub
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey. IEEE Access 10 (2022)
Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction. CoRR (2022)
Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. BrainLes@MICCAI (2) (2022)
Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. CoRR (2022)
Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images? CoRR (2022)
Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. CoRR (2022)
Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI (2021)
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)
Sevim Cengiz, Mohammad Yaqub
Automatic Fetal Gestational Age Estimation from First Trimester Scans. ASMUS@MICCAI (2021)
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
A High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery. Remote. Sens. 12 (4) (2020)
Helena Williams, Laura Cattani, Mohammad Yaqub, Carole H. Sudre, Tom Vercauteren, Jan Deprest, Jan D'hooge
Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. ASMUS/PIPPI@MICCAI (2020)
Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Anal. 46 (2018)
Hazem Hiary, Heba Saadeh, Maha Saadeh, Mohammad Yaqub
Flower classification using deep convolutional neural networks. IET Comput. Vis. 12 (6) (2018)
Mohammad Yaqub, Sylvia Rueda, Anil Kopuri, Pedro Melo, Aris Papageorghiou, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble
Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain. IEEE J. Biomed. Health Informatics 20 (4) (2016)
Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Fenella Roseman, Aris Papageorghiou, J. Alison Noble
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment. MLMI@MICCAI (2016)
Mohammad Yaqub, Brenda Kelly, Aris T. Papageorghiou, J. Alison Noble
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans. MICCAI (3) (2015)
Ruobing Huang, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images. MIUA (2015)
Ana I. L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble
Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Anal. 21 (1) (2015)
Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub, Aris 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
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 33 (4) (2014)
Mohammad Yaqub, M. Kassim Javaid, Cyrus Cooper, J. Alison Noble
Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation. IEEE Trans. Medical Imaging 33 (2) (2014)
Ana Ineyda Luisa Namburete, Mohammad Yaqub, Bryn Kemp, Aris Papageorghiou, J. Alison Noble
Predicting Fetal Neurodevelopmental Age from Ultrasound Images. MICCAI (2) (2014)
Mohammad Yaqub, Anil Kopuri, Sylvia Rueda, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble
A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation. MLMI (2014)
Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble
Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography. MCV (2013)
Mohammad Yaqub, Rémi Cuingnet, Raffaele Napolitano, David Roundhill, Aris Papageorghiou, Roberto Ardon, J. Alison Noble
Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound. MLMI (2013)
Rémi Cuingnet, Oudom Somphone, Benoit Mory, Raphael Prevost, Mohammad Yaqub, Raffaele Napolitano, Aris Papageorghiou, David Roundhill, J. Alison Noble, Roberto Ardon
Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound. ISBI (2013)

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Publication Activity (10 Years)

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Mohammad Yaqub