Fabien Scalzo

Orcid: 0000-0001-9755-8104

According to our database1, Fabien Scalzo authored at least 59 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Fourier feature network for 3D vessel reconstruction from biplane angiograms.
Mach. Vis. Appl., September, 2024

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.
IEEE Trans. Medical Imaging, August, 2024

Adversarial Databases Improve Success in Retrieval-based Large Language Models.
CoRR, 2024

Predicting Outcomes in Video Games with Long Short Term Memory Networks.
CoRR, 2024

2023
A.I. in a Liberal Arts College: The Renaissance of Humanistic Education.
XRDS, 2023

A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology.
CoRR, 2023

Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

Foil-Net: Deep Wave Classification for Hydrofoil Surfing.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

2022
Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Deep Learning-Based Classification of Plant Xylem Tissue from Light Micrographs.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

CBFV Waveform Pattern Analysis in Noninvasive Ultrasound-based ICP Monitoring.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Determining and Validating Population Differences in Magnetic Resonance Angiography Using Sparse Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.
IEEE J. Biomed. Health Informatics, 2021

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.
Comput. Medical Imaging Graph., 2021

Time Stretch Computing for Ultrafast Single-shot Data Acquisition and Inference.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

CT Perfusion Imaging of the Brain with Machine Learning.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Objective Assessment of Beat Quality in Transcranial Doppler Measurement of Blood Flow Velocity in Cerebral Arteries.
IEEE Trans. Biomed. Eng., 2020

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019
A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.
IEEE Trans. Medical Imaging, 2019

LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic Estimation of Arterial Input Function in Digital Subtraction Angiography.
Proceedings of the Advances in Visual Computing, 2019

Angio-AI: Cerebral Perfusion Angiography with Machine Learning.
Proceedings of the Advances in Visual Computing, 2019

Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.
IEEE Trans. Biomed. Eng., 2018

Elastic net ensemble classifier for event-related potential based automatic spelling.
Biomed. Signal Process. Control., 2018

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Automatic Registration of Serial Cerebral Angiography: A Comparative Review.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Skull Stripping Using Confidence Segmentation Convolution Neural Network.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

2017
Cerebral blood flow velocity pulse onset detection using adaptive thresholding.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Perfusion Angiography in Acute Ischemic Stroke.
Comput. Math. Methods Medicine, 2016

Noise reduction in intracranial pressure signal using causal shape manifolds.
Biomed. Signal Process. Control., 2016

Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Detection of Intracranial Hypertension using Deep Learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A temporal deep learning approach for MR perfusion parameter estimation in stroke.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Ensemble of sparse classifiers for high-dimensional biological data.
Int. J. Data Min. Bioinform., 2015

Probabilistic Labeling of Cerebral Vasculature on MR Angiography.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Detection of hyperperfusion on arterial spin labeling using deep learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Deep learning of tissue fate features in acute ischemic stroke.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Pediatric heart sound segmentation using Hidden Markov Model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features.
IEEE Trans. Biomed. Eng., 2013

2012
Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function.
IEEE Trans. Biomed. Eng., 2012

Bayesian tracking of intracranial pressure signal morphology.
Artif. Intell. Medicine, 2012

2010
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

2009
Morphological Clustering and Analysis of Continuous Intracranial Pressure.
IEEE Trans. Biomed. Eng., 2009

Regression analysis for peak designation in pulsatile pressure signals.
Medical Biol. Eng. Comput., 2009

2008
Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Feature Fusion Hierarchies for gender classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Unsupervised Learning of Dense Hierarchical Appearance Represe.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Unsupervised Learning of Visual Feature Hierarchies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Statistical Learning of Visual Feature Hierarchies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

Task-Driven Learning of Spatial Combinations of Visual Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005


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