Ivana Isgum
Orcid: 0000-0003-1869-5034
According to our database1,
Ivana Isgum
authored at least 111 papers
between 2003 and 2024.
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Bibliography
2024
Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors.
IEEE Trans. Medical Imaging, April, 2024
Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations.
IEEE Trans. Medical Imaging, February, 2024
2023
Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke.
Medical Image Anal., December, 2023
BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery.
Comput. Biol. Medicine, December, 2023
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations.
Comput. Biol. Medicine, September, 2023
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.
CoRR, 2023
CoRR, 2023
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis.
Proceedings of the Medical Imaging with Deep Learning, 2023
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints.
Proceedings of the Medical Imaging with Deep Learning, 2023
Deformable Image Registration with Geometry-informed Implicit Neural Representations.
Proceedings of the Medical Imaging with Deep Learning, 2023
Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
2022
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI.
Medical Image Anal., 2022
Medical Image Anal., 2022
Comput. Biol. Medicine, 2022
Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.
Proceedings of the Computing in Cardiology, 2022
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.
Proceedings of the Computing in Cardiology, 2022
2021
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.
IEEE Trans. Medical Imaging, 2020
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images.
IEEE Trans. Medical Imaging, 2020
CoRR, 2020
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
2019
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.
Medical Image Anal., 2019
Medical Image Anal., 2019
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.
Medical Image Anal., 2019
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis.
CoRR, 2019
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.
CoRR, 2019
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
CoRR, 2019
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis.
CoRR, 2019
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Improving myocardium segmentation in cardiac CT angiography using spectral information.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks.
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019
2018
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.
IEEE Trans. Medical Imaging, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.
Medical Image Anal., 2018
Generative adversarial networks and adversarial methods in biomedical image analysis.
CoRR, 2018
CoRR, 2018
Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography.
CoRR, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
2017
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network.
CoRR, 2017
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
IEEE Trans. Medical Imaging, 2016
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants.
NeuroImage, 2016
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.
Medical Image Anal., 2016
2D image classification for 3D anatomy localization: employing deep convolutional neural networks.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection.
IEEE Trans. Medical Imaging, 2015
Automatic segmentation of MR brain images of preterm infants using supervised classification.
NeuroImage, 2015
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.
Medical Image Anal., 2015
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT Images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Automatic segmentation of the preterm neonatal brain with MRI using supervised classification.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Implicit surface registration with surface-oriented anisotropic deformation field smoothing.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
IEEE Trans. Medical Imaging, 2012
Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans.
Medical Image Anal., 2012
Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
2010
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus.
Medical Image Anal., 2010
Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans.
IEEE Trans. Medical Imaging, 2009
2008
Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
PhD thesis, 2007
2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
2003
Automatic detection of calcifications in the aorta from abdominal CT scans.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003