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Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency

IEEE transactions on medical imaging, 2023-05, Vol.42 (5), p.1401-1412

2023

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ERL-Net: Entangled Representation Learning for Single Image De-Raining

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.5643-5651

2019

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A Federated Learning System for Histopathology Image Analysis with an Orchestral Stain-Normalization GAN

IEEE transactions on medical imaging, 2023-07, Vol.42 (7), p.1-1

2023

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TSDNET: A Tumour Segmentation Network with 3D Direction-Wise Convolution

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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Deep fusion pipeline for mild cognitive impairment diagnosis

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1394-1997

2018

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Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-4

2023

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Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-4

2022

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Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.1929-1933

2021

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Learning Left Main Bifurcation Shape Features with an Autoencoder

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-4

2022

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MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, p.1-5

2024

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End-of-Line Binning of Full and Half-Cut Cells using Deep Learning on Electroluminescence Images

2020 47th IEEE Photovoltaic Specialists Conference (PVSC), 2020, p.0133-0138

2020

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Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.1-4

2020

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Localization of defects in solar cells using luminescence images and deep learning

2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 2021, p.0745-0749

2021

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Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.4630-4636

2022

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A Deep Learning Approach for Loss-Analysis from Luminescence Images

2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 2021, p.0097-0100

2021

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A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.726-730

2020

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Data Agnostic Filter Gating For Efficient Deep Networks

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.3503-3507

2022

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Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.61-65

2019

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Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.824-828

2019

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Efficient graph cuts based extraction of vertebral column and ribs in lung MDCT images

2013 IEEE International Conference on Image Processing, 2013, p.1182-1186

2013

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A Machine Learning Framework for Fully Automatic 3D Fetal Cardiac Ultrasound Evaluation

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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Semi-quantitative analysis of prostate perfusion MRI by clustering of pre and post contrast enhancement phases

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.943-947

2016

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Multiscale sparse representation of high-resolution computed tomography (HRCT) lung images for diffuse lung disease classification

2011 18th IEEE International Conference on Image Processing, 2011, p.441-444

2011

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Tensor Power Method for Efficient MAP Inference in Higher-order MRFs

2010 20th International Conference on Pattern Recognition, 2010, p.734-737

2010

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Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency

ERL-Net: Entangled Representation Learning for Single Image De-Raining

A Federated Learning System for Histopathology Image Analysis with an Orchestral Stain-Normalization GAN

TSDNET: A Tumour Segmentation Network with 3D Direction-Wise Convolution

Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets

Deep fusion pipeline for mild cognitive impairment diagnosis

Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images

Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup

Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation

Learning Left Main Bifurcation Shape Features with an Autoencoder

MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion

End-of-Line Binning of Full and Half-Cut Cells using Deep Learning on Electroluminescence Images

Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations

Localization of defects in solar cells using luminescence images and deep learning

Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting

A Deep Learning Approach for Loss-Analysis from Luminescence Images

A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network

Data Agnostic Filter Gating For Efficient Deep Networks

Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI

Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound

Efficient graph cuts based extraction of vertebral column and ribs in lung MDCT images

A Machine Learning Framework for Fully Automatic 3D Fetal Cardiac Ultrasound Evaluation

Semi-quantitative analysis of prostate perfusion MRI by clustering of pre and post contrast enhancement phases

Multiscale sparse representation of high-resolution computed tomography (HRCT) lung images for diffuse lung disease classification

Tensor Power Method for Efficient MAP Inference in Higher-order MRFs

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