Канал: MIUA: Medical Image Understanding and Analysis

MIUA 2021 Keynote Lecture: Prof. Mihaela van der Schaar - The Role of Imaging in Machine Learning

MIUA 2021 Keynote Lecture: Prof. Mihaela van der Schaar - The Role of Imaging in Machine Learning

MIUA 2021 Keynote Lecture: Dr Ben Glocker - Towards Safer AI in Medical Imaging

MIUA 2021 Keynote Lecture: Dr Ben Glocker - Towards Safer AI in Medical Imaging

MIUA2021: Deep Learning-Based Landmark Localisation in the Liver for Couinaud Segmentation

MIUA2021: Deep Learning-Based Landmark Localisation in the Liver for Couinaud Segmentation

MIUA2021: Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate

MIUA2021: Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate

MIUA2021: Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction

MIUA2021: Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction

MIUA2021: Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes

MIUA2021: Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes

MIUA2021: End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease

MIUA2021: End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease

MIUA2021: Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography

MIUA2021: Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography

MIUA2021: MAFIA-CT: MAchine Learning Tool for Image Quality Assessment in Computed Tomography

MIUA2021: MAFIA-CT: MAchine Learning Tool for Image Quality Assessment in Computed Tomography

MIUA2021: Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound

MIUA2021: Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound

MIUA2021: Exploring the Correlation between Deep Learned and Clinical Features in Melanoma Detection

MIUA2021: Exploring the Correlation between Deep Learned and Clinical Features in Melanoma Detection

MIUA2021: HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional

MIUA2021: HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional

MIUA2021: Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

MIUA2021: Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

MIUA2021: Robust Automatic Montaging of Adaptive Optics Flood Illumination Retinal Images

MIUA2021: Robust Automatic Montaging of Adaptive Optics Flood Illumination Retinal Images

MIUA2021: Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling

MIUA2021: Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling

MIUA2021: Improving Generalization of ENAS-Based CNN Models for Breast Lesion Classification

MIUA2021: Improving Generalization of ENAS-Based CNN Models for Breast Lesion Classification

MIUA2021: Optimising Knee Injury Detection with Spatial Attention and Validating Localisation

MIUA2021: Optimising Knee Injury Detection with Spatial Attention and Validating Localisation

MIUA2021: Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer

MIUA2021: Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer

MIUA2021: Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank

MIUA2021: Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank

MIUA2021: Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy

MIUA2021: Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy

MIUA2021: BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG

MIUA2021: BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG

MIUA2021: First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search

MIUA2021: First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search

MIUA2021: Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU

MIUA2021: Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU

MIUA2021: A Simulation Study to Estimate Optimum LOR Angular Acceptance for the Image Reconstruction

MIUA2021: A Simulation Study to Estimate Optimum LOR Angular Acceptance for the Image Reconstruction

MIUA2021: A Comparison of Computer Vision Methods for the Combined Detection of Glaucoma, Diabetic

MIUA2021: A Comparison of Computer Vision Methods for the Combined Detection of Glaucoma, Diabetic

MIUA2021: Pancreas Volumetry in UK Biobank: Comparison of Models and Inference at Scale

MIUA2021: Pancreas Volumetry in UK Biobank: Comparison of Models and Inference at Scale

MIUA2021: Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow

MIUA2021: Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow

MIUA2021: Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model

MIUA2021: Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model

MIUA2021: Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic

MIUA2021: Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic

MIUA2021: Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance

MIUA2021: Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance

MIUA2021: D’OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance

MIUA2021: D’OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance

MIUA2021: Reducing Textural Bias Improves Robustness of Deep Segmentation Models

MIUA2021: Reducing Textural Bias Improves Robustness of Deep Segmentation Models

MIUA2021: Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation

MIUA2021: Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation

MIUA2021: Echocardiographic Image Quality Assessment Using Deep Neural Networks

MIUA2021: Echocardiographic Image Quality Assessment Using Deep Neural Networks

MIUA2021: Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning

MIUA2021: Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism

MIUA2021: Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism

MIUA2021: Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic

MIUA2021: Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic

MIUA2021: Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI

MIUA2021: Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI

MIUA2021: Fast Automatic Bone Surface Segmentation in Ultrasound Images Without Machine Learning

MIUA2021: Fast Automatic Bone Surface Segmentation in Ultrasound Images Without Machine Learning

MIUA2021: Towards Linking CNN Decisions with Cancer Signs for Breast Lesion Classification

MIUA2021: Towards Linking CNN Decisions with Cancer Signs for Breast Lesion Classification

MIUA2021: Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep

MIUA2021: Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep

MIUA 2020 Keynote Lecture: Prof. Fergus Gleeson "Artificial Intelligence: A Clinical Perspective"

MIUA 2020 Keynote Lecture: Prof. Fergus Gleeson "Artificial Intelligence: A Clinical Perspective"

MIUA 2020: Textural feature based segmentation approach: A repeatable and accurate segmentation

MIUA 2020: Textural feature based segmentation approach: A repeatable and accurate segmentation

MIUA 2020: Pancreas segmentation-derived biomarkers: volume and shape metrics in the UK Biobank

MIUA 2020: Pancreas segmentation-derived biomarkers: volume and shape metrics in the UK Biobank

MIUA 2020: Radiomics: a New Biomedical Workflow to Create a Predictive Model

MIUA 2020: Radiomics: a New Biomedical Workflow to Create a Predictive Model

MIUA 2020: Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation

MIUA 2020: Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation

MIUA 2020: A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine

MIUA 2020: A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine

MIUA 2020: Improving U-Net Segmentation with Active Contour Based Label Correction

MIUA 2020: Improving U-Net Segmentation with Active Contour Based Label Correction

MIUA 2020: Investigating Sex Related Phenotype Changes in Knockout Mice by Applying Deep Learning

MIUA 2020: Investigating Sex Related Phenotype Changes in Knockout Mice by Applying Deep Learning

MIUA 2020: Automatic and Objective Facial Palsy Grading Index Prediction using Deep Feature

MIUA 2020: Automatic and Objective Facial Palsy Grading Index Prediction using Deep Feature

MIUA 2020: A Deep Learning Approach to Detect the Demarcation Line in OCT Images

MIUA 2020: A Deep Learning Approach to Detect the Demarcation Line in OCT Images

MIUA 2020: DeepSplit: Segmentation of Microscopy Images Using Multi-Task Convolutional Networks

MIUA 2020: DeepSplit: Segmentation of Microscopy Images Using Multi-Task Convolutional Networks

MIUA 2020: Segmenting Hepatocellular Carcinoma in Multi-phase CT

MIUA 2020: Segmenting Hepatocellular Carcinoma in Multi-phase CT

MIUA 2020: CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN

MIUA 2020: CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN

MIUA 2020: Ridge Detection and Analysis of Susceptibility-Weighted Magnetic Resonance Imaging

MIUA 2020: Ridge Detection and Analysis of Susceptibility-Weighted Magnetic Resonance Imaging

MIUA 2020 Keynote Lecture: Prof Michael Bronstein - Geometric deep learning on graphs, manifolds ...

MIUA 2020 Keynote Lecture: Prof Michael Bronstein - Geometric deep learning on graphs, manifolds ...

MIUA 2020 MathWorks lecture - Deep Learning for Brain Images

MIUA 2020 MathWorks lecture - Deep Learning for Brain Images

MIUA 2020: Unsupervised Deep Learning for Stain Separation and Artifact Detection in Histopathology

MIUA 2020: Unsupervised Deep Learning for Stain Separation and Artifact Detection in Histopathology

MIUA 2020: Volumetric Simulation of Nano-Fibres and 2D SEM and 3D XCT Imaging Processes

MIUA 2020: Volumetric Simulation of Nano-Fibres and 2D SEM and 3D XCT Imaging Processes

MIUA 2020: Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal

MIUA 2020: Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal

MIUA 2020: Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous

MIUA 2020: Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous

MIUA 2020: A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using

MIUA 2020: A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using

MIUA 2020 Keynote Lecture: Prof Julia Schnabel - Smart Medical Imaging

MIUA 2020 Keynote Lecture: Prof Julia Schnabel - Smart Medical Imaging

MIUA 2020: Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation

MIUA 2020: Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation

MIUA 2020:Discovering Unknown Diseases with Explainable Automated Medical Imaging

MIUA 2020:Discovering Unknown Diseases with Explainable Automated Medical Imaging

MIUA 2020: Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images

MIUA 2020: Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images

MIUA2020 Welcome Message

MIUA2020 Welcome Message

MIUA 2020: Prediction of Thrombectomy Functional Outcomes Using Multimodal Data

MIUA 2020: Prediction of Thrombectomy Functional Outcomes Using Multimodal Data

MIUA 2020: A Machine Learning Approach for Colles’ Fracture Treatment Diagnosis

MIUA 2020: A Machine Learning Approach for Colles’ Fracture Treatment Diagnosis

MIUA 2020: Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound

MIUA 2020: Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound

MIUA 2020: A Deep Learning Approach for Semantic Segmentation of Gonioscopic Images to Support

MIUA 2020: A Deep Learning Approach for Semantic Segmentation of Gonioscopic Images to Support

MIUA 2020: Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features

MIUA 2020: Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features

MIUA 2020: Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations

MIUA 2020: Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations

MIUA 2020: On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images

MIUA 2020: On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images

MIUA 2020: A Lightweight CNN and Joint Shape-Joint Space ( JS2) Descriptor for Radiological

MIUA 2020: A Lightweight CNN and Joint Shape-Joint Space ( JS2) Descriptor for Radiological

MIUA 2020: Groupwise Multimodal Image Registration Using Joint Total Variation

MIUA 2020: Groupwise Multimodal Image Registration Using Joint Total Variation

MIUA 2020: Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning

MIUA 2020: Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning

MIUA 2020: Simultaneous Optimisation of Confocal and Non-confocal Images in an AOSLO with

MIUA 2020: Simultaneous Optimisation of Confocal and Non-confocal Images in an AOSLO with

MIUA 2020: Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

MIUA 2020: Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

MIUA 2020: Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

MIUA 2020: Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population