Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data, Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
Karthik Nandakumar

Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data, Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
Computer Vision Faculty Publications

Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data, Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
Mohammad Yaqub

Contrastive Pretraining for Echocardiography Segmentation with Limited Data, Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
Mohammad Yaqub

Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
Mohammad Yaqub

Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images, Sevim Cengiz, Ibrahim Hamdi, Mohammad Yaqub
Computer Vision Faculty Publications

GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images, Ahmed Al-Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, Mohammad Yaqub
Computer Vision Faculty Publications

End-to-End Myocardial Infarction Classification from Echocardiographic Scans, Mohamed Saeed, Mohammad Yaqub
Computer Vision Faculty Publications

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography, Rand Muhtaseb, Mohammad Yaqub
Computer Vision Faculty Publications

DRGen: Domain Generalization in Diabetic Retinopathy Classification, Mohammad Zeyad Atwany, Mohammad Yaqub
Computer Vision Faculty Publications

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Computer Vision Faculty Publications

TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction, Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub
Computer Vision Faculty Publications

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Karthik Nandakumar

Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images, Sevim Cengiz, Ibrahim Hamdi, Mohammad Yaqub
Mohammad Yaqub

DRGen: Domain Generalization in Diabetic Retinopathy Classification, Mohammad Zeyad Atwany, Mohammad Yaqub
Mohammad Yaqub

End-to-End Myocardial Infarction Classification from Echocardiographic Scans, Mohamed Saeed, Mohammad Yaqub
Mohammad Yaqub

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography, Rand Muhtaseb, Mohammad Yaqub
Mohammad Yaqub

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Mohammad Yaqub

GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images, Ahmed Al-Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, Mohammad Yaqub
Mohammad Yaqub

TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction, Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub
Mohammad Yaqub

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub
Computer Vision Faculty Publications

Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
Computer Vision Faculty Publications

Contrastive Pretraining for Echocardiography Segmentation with Limited Data, Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
Computer Vision Faculty Publications

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub
Mohammad Yaqub

Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis, Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub
Computer Vision Faculty Publications

Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis, Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub
Mohammad Yaqub

Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey, Mohammad Z. Atwany, Abdulwahab H. Sahyoun, Mohammad Yaqub
Mohammad Yaqub

Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey, Mohammad Z. Atwany, Abdulwahab H. Sahyoun, Mohammad Yaqub
Computer Vision Faculty Publications

Continual domain incremental learning for chest X-ray classification in low-resource clinical settings, Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
Karthik Nandakumar

Automatic extraction of hiatal dimensions in 3-D transperineal pelvic ultrasound recordings, Helena Williams, Laura Cattani, Dominique Van Schoubroeck, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan D'Hooge, Jan Deprest
Mohammad Yaqub

Preface, Bartłomiej W. Papież, Ana I.L. Namburete, Mohammad Yaqub, J. Alison Noble
Mohammad Yaqub

Preface, Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I.L. Namburete, J. Alison Noble
Mohammad Yaqub

Continual domain incremental learning for chest X-ray classification in low-resource clinical settings, Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
Mohammad Yaqub

Automatic C-plane detection in pelvic floor transperineal lolumetric ultrasound, Helena Williams, Laura Cattani, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan Deprest, Jan D’hooge
Mohammad Yaqub

Automatic fetal gestational age estimation from first trimester scans, Sevim Cengiz, Mohammad Yaqub
Mohammad Yaqub

SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
Karthik Nandakumar

Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
Mohammad Yaqub

An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub
Mohammad Yaqub

Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
Mohammad Yaqub

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
Mohammad Yaqub

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

Hyperparameter Optimization for COVID-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub
Mohammad Yaqub

SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
Mohammad Yaqub

Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans, Sevim Cengiz, Mohammad Yaqub
Mohammad Yaqub

SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
Computer Vision Faculty Publications

An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub
Computer Vision Faculty Publications

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Min Xu, Mohammad Yaqub, Muhammad Ridzuan, Hussam Azzuni
Min Xu

Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub
Computer Vision Faculty Publications

Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
Computer Vision Faculty Publications

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?, Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
Computer Vision Faculty Publications

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
Computer Vision Faculty Publications

Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans, Sevim Cengiz, Mohammad Yaqub
Computer Vision Faculty Publications

Hyperparameter Optimization for COVID-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub
Computer Vision Faculty Publications

Automatic extraction of hiatal dimensions in 3-D transperineal pelvic ultrasound recordings, Helena Williams, Laura Cattani, Dominique Van Schoubroeck, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan D'Hooge, Jan Deprest
Computer Vision Faculty Publications

Continual domain incremental learning for chest X-ray classification in low-resource clinical settings, Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
Computer Vision Faculty Publications

Automatic fetal gestational age estimation from first trimester scans, Sevim Cengiz, Mohammad Yaqub
Computer Vision Faculty Publications

Preface, Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I.L. Namburete, J. Alison Noble
Computer Vision Faculty Publications

Automatic C-plane detection in pelvic floor transperineal lolumetric ultrasound, Helena Williams, Laura Cattani, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan Deprest, Jan D’hooge
Computer Vision Faculty Publications

Preface, Bartłomiej W. Papież, Ana I.L. Namburete, Mohammad Yaqub, J. Alison Noble
Computer Vision Faculty Publications