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Mohammad Yaqub
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2020 – today
- 2024
- [j13]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: 42614-42628 (2024) - [j12]Ahmed Sharshar
, Muhammad Sharshar
, Hosam Elhady
, Ahmed Aboeitta
, Youssef Nafea
, Yasser Ashraf
, Mohammad Yaqub
, Mohsen Guizani
:
Corrections to "RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning". IEEE Access 12: 118831 (2024) - [j11]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: 103047 (2024) - [c56]Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub:
Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models. ISBI 2024: 1-5 - [c55]Fadillah Adamsyah Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub:
On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. ISBI 2024: 1-4 - [c54]Saad Abouzahir, Sharim Jamal, Abdulmotaleb El-Saddik, Mohammad Yaqub, Hosni Ghedira:
Dynamic Dashboard for Malaria Control: Integrating Climate Factors for Comprehensive Monitoring. MeMeA 2024: 1-6 - [c53]Ufaq Khan, Umair Nawaz, Tooba T. Sheikh, Asif Hanif, Mohammad Yaqub:
GUARDIAN: Guarding Against Uncertainty and Adversarial Risks in Robot-Assisted Surgeries. UNSURE@MICCAI 2024: 59-69 - [c52]Hussam Azzuni, Abdulmotaleb El-Saddik, Mohammad Yaqub, Min Xu:
MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network. MOVI@MICCAI 2024: 130-139 - [c51]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. MICCAI (12) 2024: 131-141 - [c50]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. DGM4MICCAI@MICCAI 2024: 169-179 - [c49]Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub
, Karthik Nandakumar
:
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 226-235 - [c48]Muhammad Ridzuan
, Numan Saeed
, Fadillah Adamsyah Maani
, Karthik Nandakumar
, Mohammad Yaqub
:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI 2024: 231-240 - [c47]Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar:
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. MICCAI (12) 2024: 262-271 - [c46]Muhammad Ridzuan
, Mai A. Shaaban
, Numan Saeed
, Ikboljon Sobirov
, Mohammad Yaqub
:
HuLP: Human-in-the-Loop for Prognosis. MICCAI (5) 2024: 328-338 - [c45]Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis. MICCAI (4) 2024: 591-601 - [c44]Numan Saeed
, Muhammad Ridzuan
, Fadillah Adamsyah Maani
, Hussain Alasmawi
, Karthik Nandakumar
, Mohammad Yaqub
:
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) 2024: 659-669 - [c43]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: 245-257 - [c42]Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub:
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing. SemEval@NAACL 2024: 170-174 - [i58]Mai A. Shaaban, Abbas Akkasi, Adnan Khan, Majid Komeili, Mohammad Yaqub:
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text. CoRR abs/2401.15780 (2024) - [i57]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 abs/2403.09240 (2024) - [i56]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 abs/2403.09262 (2024) - [i55]Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis. CoRR abs/2403.10164 (2024) - [i54]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 abs/2403.10603 (2024) - [i53]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 abs/2403.11646 (2024) - [i52]Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
HuLP: Human-in-the-Loop for Prognosis. CoRR abs/2403.13078 (2024) - [i51]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 abs/2403.13341 (2024) - [i50]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 abs/2403.13343 (2024) - [i49]Mai A. Shaaban, Adnan Khan, Mohammad Yaqub:
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis. CoRR abs/2403.15585 (2024) - [i48]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 abs/2403.16594 (2024) - [i47]Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub:
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models. CoRR abs/2403.18996 (2024) - [i46]Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar:
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. CoRR abs/2404.13704 (2024) - [i45]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 abs/2404.14099 (2024) - [i44]Fadillah A. Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub:
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks. CoRR abs/2405.02852 (2024) - [i43]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 abs/2405.13482 (2024) - [i42]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 abs/2406.08486 (2024) - [i41]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 abs/2407.21738 (2024) - [i40]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 abs/2407.21739 (2024) - [i39]Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CoRR abs/2409.19901 (2024) - [i38]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. CoRR abs/2410.00986 (2024) - [i37]Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub, Min Xu, Mohsen Guizani:
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. CoRR abs/2410.01003 (2024) - [i36]Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar:
FedRISE: Rating Induced Sign Election of Gradients for Byzantine Tolerant Federated Aggregation. CoRR abs/2411.03861 (2024) - [i35]Salma Hassan, Dawlat Akaila, Maryam Arjemandi, Vijay Ram Papineni, Mohammad Yaqub:
MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study. CoRR abs/2411.04155 (2024) - [i34]Hu Wang, Congbo Ma, Ibrahim Almakky, Ian Reid, Gustavo Carneiro, Mohammad Yaqub:
Rethinking Weight-Averaged Model-merging. CoRR abs/2411.09263 (2024) - [i33]Sarim Hashmi, Juan Lugo, Abdelrahman Elsayed, Dinesh Saggurthi, Mohammed Elseiagy, Alikhan Nurkamal, Jaskaran Walia, Fadillah Adamsyah Maani, Mohammad Yaqub:
Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics. CoRR abs/2411.15872 (2024) - 2023
- [j10]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: 102989 (2023) - [j9]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) - [c41]Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar:
Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops 2023: 2525-2534 - [c40]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. MICAD 2023: 52-61 - [c39]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: 68-78 - [c38]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: 104-113 - [c37]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: 115-125 - [c36]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: 126-135 - [c35]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. BraTS/CrossMoDA@MICCAI 2023: 264-277 - [c34]Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub:
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL 2023: 1666-1679 - [c33]Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub:
Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. MIUA 2023: 325-337 - [c32]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: 434-443 - [i32]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 abs/2301.00524 (2023) - [i31]Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub:
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. CoRR abs/2303.04418 (2023) - [i30]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 abs/2303.06274 (2023) - [i29]Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub:
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR abs/2303.07093 (2023) - [i28]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 abs/2304.00774 (2023) - [i27]Xiangjian Hou, Sarit Khirirat, Mohammad Yaqub, Samuel Horváth
:
Improving Performance of Private Federated Models in Medical Image Analysis. CoRR abs/2304.05127 (2023) - [i26]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 abs/2305.07152 (2023) - [i25]Numan Saeed, Muhammad Ridzuan, Roba Al Majzoub, Mohammad Yaqub:
Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation. CoRR abs/2305.18948 (2023) - [i24]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 abs/2306.03494 (2023) - [i23]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 abs/2308.07874 (2023) - [i22]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 abs/2308.14050 (2023) - [i21]Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub:
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. CoRR abs/2309.09670 (2023) - [i20]Fadillah A. 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 abs/2310.00454 (2023) - [i19]Hussain Alasmawi, Leanne Bricker, Mohammad Yaqub:
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning. CoRR abs/2310.12600 (2023) - [i18]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 abs/2311.09607 (2023) - 2022
- [j8]Mohammad Z. Atwany
, Abdulwahab Sahyoun
, Mohammad Yaqub:
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey. IEEE Access 10: 28642-28655 (2022) - [c31]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: 293 - [c30]Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar:
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. BMVC 2022: 475 - [c29]Hanan Gani, Muzammal Naseer, Mohammad Yaqub:
How to Train Vision Transformer on Small-scale Datasets? BMVC 2022: 731 - [c28]Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub:
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. BrainLes@MICCAI (2) 2022: 90-99 - [c27]Mohamed Saeed
, Mohammad Yaqub
:
End-to-End Myocardial Infarction Classification from Echocardiographic Scans. ASMUS@MICCAI 2022: 54-63 - [c26]Ahmed Al Mahrooqi
, Dmitrii Medvedev
, Rand Muhtaseb
, Mohammad Yaqub
:
GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images. OMIA@MICCAI 2022: 152-161 - [c25]Sevim Cengiz
, Ibraheem Hamdi
, Mohammad Yaqub
:
Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images. ASMUS@MICCAI 2022: 172-182 - [c24]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: 319-329 - [c23]Rand Muhtaseb
, Mohammad Yaqub
:
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. MICCAI (4) 2022: 370-379 - [c22]Faris Almalik
, Mohammad Yaqub
, Karthik Nandakumar
:
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. MICCAI (3) 2022: 376-386 - [c21]Mohammad Z. Atwany
, Mohammad Yaqub
:
DRGen: Domain Generalization in Diabetic Retinopathy Classification. MICCAI (2) 2022: 635-644 - [c20]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: 1005-1018 - [c19]Ikboljon Sobirov
, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub:
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? MIDL 2022: 1149-1161 - [c18]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: 234-250 - [c17]Mohamed Saeed
, Rand Muhtaseb
, Mohammad Yaqub
:
Contrastive Pretraining for Echocardiography Segmentation with Limited Data. MIUA 2022: 680-691 - [i17]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 abs/2201.06052 (2022) - [i16]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 abs/2201.06086 (2022) - [i15]Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub:
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? CoRR abs/2201.06251 (2022) - [i14]Sevim Cengiz, Mohammad Yaqub:
Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans. CoRR abs/2201.06406 (2022) - [i13]Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub:
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images? CoRR abs/2201.07219 (2022) - [i12]Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub:
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification. CoRR abs/2201.10885 (2022) - [i11]Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub:
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. CoRR abs/2202.01672 (2022) - [i10]Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub:
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. CoRR abs/2202.12537 (2022) - [i9]Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub:
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. CoRR abs/2203.01940 (2022) - [i8]Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub:
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis. CoRR abs/2205.02847 (2022) - [i7]Faris Almalik, Mohammad Yaqub, Karthik Nandakumar:
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. CoRR abs/2208.02851 (2022) - [i6]Rand Muhtaseb, Mohammad Yaqub:
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. CoRR abs/2209.04242 (2022) - [i5]Numan Saeed, Ikboljon Sobirov
, Roba Al Majzoub, Mohammad Yaqub:
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction. CoRR abs/2209.05036 (2022) - [i4]Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub:
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. CoRR abs/2210.00825 (2022) - [i3]Hanan Gani
, Muzammal Naseer, Mohammad Yaqub:
How to Train Vision Transformer on Small-scale Datasets? CoRR abs/2210.07240 (2022) - [i2]Ivo Gollini Navarrete, Mohammad Yaqub:
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans. CoRR abs/2211.06620 (2022) - [i1]Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar:
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. CoRR abs/2211.13465 (2022) - 2021
- [c16]Sevim Cengiz
, Mohammad Yaqub
:
Automatic Fetal Gestational Age Estimation from First Trimester Scans. ASMUS@MICCAI 2021: 220-227 - [c15]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: 226-238 - [c14]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: 278-286 - [e2]Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao
, Ana I. L. Namburete
, J. Alison Noble
:
Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Lecture Notes in Computer Science 12722, Springer 2021, ISBN 978-3-030-80431-2 [contents] - 2020
- [j7]Alejandra Mora-Soto