Fabien Scalzo

发表

Bayesian tracking of intracranial pressure signal morphology

Xiao Hu, Shadnaz Asgari, Fabien Scalzo, 2012, Artif. Intell. Medicine.

Pediatric heart sound segmentation using Hidden Markov Model

Shadnaz Asgari, Fabien Scalzo, Pouye Sedighian, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Statistical Learning of Visual Feature Hierarchies

Justus H. Piater, Fabien Scalzo, J. Piater, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI

Fabien Scalzo, Ruiming Cao, Xinran Zhong, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography

Daniel Rueckert, Fabien Scalzo, Kouros Nouri-Mahdavi, 2020, ISVC.

Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI

Fabien Scalzo, Min Lou, Yannan Yu, 2018, IEEE Transactions on Biomedical Engineering.

LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke

Fabien Scalzo, William Speier, Corey W. Arnold, 2019, MICCAI.

Feature Fusion Hierarchies for gender classification

Mircea Nicolescu, Alireza Tavakkoli, Fabien Scalzo, 2008, 2008 19th International Conference on Pattern Recognition.

Performance Comparison of Knowledge-Based Dose Prediction Techniques Based on Limited Patient Data

Ke Sheng, Ryan Neph, Fabien Scalzo, 2018, Technology in cancer research & treatment.

Probabilistic Labeling of Cerebral Vasculature on MR Angiography

Fabien Scalzo, Benjamin Quachtran, Sunil Sheth, 2015, ISVC.

Identification of Pulse Onset on Cerebral Blood Flow Velocity Waveforms: A Comparative Study

Shadnaz Asgari, Fabien Scalzo, Nicolas Canac, 2019, BioMed research international.

Automatic Registration of Serial Cerebral Angiography: A Comparative Review

Zhiyuan Zhang, Fabien Scalzo, Alice Tang, 2018, ISVC.

Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images

Fugen Zhou, Fabien Scalzo, Lu Li, 2020, IEEE Journal of Biomedical and Health Informatics.

Objective Assessment of Beat Quality in Transcranial Doppler Measurement of Blood Flow Velocity in Cerebral Arteries

Fabien Scalzo, Corey M. Thibeault, Kian Jalaleddini, 2019, bioRxiv.

A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR

Fabien Scalzo, Richard McKinley, Roland Wiest, 2018, Front. Neurol..

Ensemble of sparse classifiers for high-dimensional biological data

Xiao Hu, Fabien Scalzo, Sunghan Kim, 2015, Int. J. Data Min. Bioinform..

Skull Stripping Using Confidence Segmentation Convolution Neural Network

Fabien Scalzo, Kaiyuan Chen, Jingyue Shen, 2018, ISVC.

Automatic Estimation of Arterial Input Function in Digital Subtraction Angiography

Fabien Scalzo, Aditya M. Deshpande, Alexander Liebeskind, 2019, ISVC.

Angio-AI: Cerebral Perfusion Angiography with Machine Learning

John Tran, Fabien Scalzo, Yinsheng Zhou, 2019, ISVC.

Detection of hyperperfusion on arterial spin labeling using deep learning

Danny J. J. Wang, Fabien Scalzo, Nicholas Vincent, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging

Fabien Scalzo, William Speier, Corey W. Arnold, 2019, IEEE Transactions on Medical Imaging.

Perfusion Angiography in Acute Ischemic Stroke

Fabien Scalzo, David S. Liebeskind, D. Liebeskind, 2016, Comput. Math. Methods Medicine.

Robust Peak Recognition in Intracranial Pressure Signals

Xiao Hu, Shadnaz Asgari, Fabien Scalzo, 2010, Biomedical engineering online.

Editorial: Machine Learning and Decision Support in Stroke

Fabien Scalzo, David S. Liebeskind, D. Liebeskind, 2020, Frontiers in Neurology.

Noise reduction in intracranial pressure signal using causal shape manifolds

Fabien Scalzo, Abhejit Rajagopal, Robert B. Hamilton, 2016, Biomed. Signal Process. Control..

Semi-supervised detection of intracranial pressure alarms using waveform dynamics

Xiao Hu, Fabien Scalzo, Xiao Hu, 2013, Physiological measurement.

Objective Assessment of Beat Quality in Transcranial Doppler Measurement of Blood Flow Velocity in Cerebral Arteries

Fabien Scalzo, Corey M. Thibeault, Mina Ranjbaran, 2020, IEEE Transactions on Biomedical Engineering.

Deep learning of tissue fate features in acute ischemic stroke

Fabien Scalzo, Nicholas Vincent, Noah Stier, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Fabien Scalzo, Alice Tang, 2016, ISVC.

Predictive analytics and machine learning in stroke and neurovascular medicine

Fabien Scalzo, Melek Somai, Hamidreza Saber, 2019, Neurological research.

Morphological Clustering and Analysis of Continuous Intracranial Pressure

Xiao Hu, Peng Xu, Fabien Scalzo, 2009, IEEE Transactions on Biomedical Engineering.

Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography

Fabien Scalzo, David S. Liebeskind, Elijah Agbayani, 2016, ISVC.

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning

Fabien Scalzo, Richard McKinley, Andreas Hess, 2018, BrainLes@MICCAI.

Pattern Recognition in Medical Decision Support

Shadnaz Asgari, Fabien Scalzo, Magdalena Kasprowicz, 2019, BioMed research international.

Cerebral blood flow velocity pulse onset detection using adaptive thresholding

Shadnaz Asgari, Fabien Scalzo, Robert B. Hamilton, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Task-Driven Learning of Spatial Combinations of Visual Features

Justus H. Piater, Sébastien Jodogne, Fabien Scalzo, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

A temporal deep learning approach for MR perfusion parameter estimation in stroke

Fabien Scalzo, Corey W. Arnold, Suzie El-Saden, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Detection of Intracranial Hypertension using Deep Learning

Fabien Scalzo, Benjamin Quachtran, Robert B. Hamilton, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Lambda Inference Machine: accelerating computing by nonlinear evolution of spectrally modulated data

Bahram Jalali, Fabien Scalzo, Tingyi Zhou, 2020 .

Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals

Xiao Hu, Peng Xu, Fabien Scalzo, 2008, ISVC.

Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models

Justus H. Piater, Fabien Scalzo, J. Piater, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms

Xiao Hu, Kenneth R. Hoffmann, Fabien Scalzo, 2010, ISVC.

Unsupervised Learning of Visual Feature Hierarchies

Justus H. Piater, Fabien Scalzo, J. Piater, 2005, MLDM.

Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function

Xiao Hu, Fabien Scalzo, Sunghan Kim, 2012, IEEE Transactions on Biomedical Engineering.

Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features

Xiao Hu, Fabien Scalzo, David S. Liebeskind, 2013, IEEE Transactions on Biomedical Engineering.

Regression analysis for peak designation in pulsatile pressure signals

Xiao Hu, Shadnaz Asgari, Peng Xu, 2009, Medical & Biological Engineering & Computing.

Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time pdf

Fabien Scalzo, William Speier, Suzie El-Saden, 2020, ArXiv.

Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images

Fabien Scalzo, William Speier, Suzie El-Saden, 2019, Journal of medical imaging.

Evolutionary Learning of Feature Fusion Hierarchies

Mircea Nicolescu, Fabien Scalzo, George Bebis, 2008 .

Computational fluid dynamics methods applied to intracranial stenosis imaging

Fabien Scalzo, Arminas Ragauskas, Vytautas Petkus, 2019 .

Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms

Yao Wang, Mircea Nicolescu, Fabien Scalzo, 2016, ISVC.

Algorithm for Reliable Detection of Beat Onsets in Cerebral Blood Flow Velocity Signals

Shadnaz Asgari, Fabien Scalzo, Corey M. Thibeault, 2018 .

Elastic net ensemble classifier for event-related potential based automatic spelling

Fabien Scalzo, Sunghan Kim, Austin White, 2018, Biomed. Signal Process. Control..

Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks

Fabien Scalzo, Yang Fu, Benjamin Quachtran, 2016, ISVC.

Vision as Inference in a Hierarchical Markov Network

Fabien Scalzo, Justus Piater, Renaud Detry, 2008 .

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Aichi Chien, C.-C. Jay Kuo, Kai-Wei Chang, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

CT Perfusion Imaging of the Brain with Machine Learning

Fabien Scalzo, David S. Liebeskind, Kunakorn Atchaneeyasakul, 2021, ISVC.

Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time

Fabien Scalzo, William Speier, Suzie El-Saden, 2020, Comput. Medical Imaging Graph..

Time Stretch Computing for Ultrafast Single-shot Data Acquisition and Inference

Bahram Jalali, Fabien Scalzo, Tingyi Zhou, 2021, 2021 Optical Fiber Communications Conference and Exhibition (OFC).

Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI

Fabien Scalzo, Kyunghyun Sung, Steven S. Raman, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Abstract WP39: Perfusion Angiography in TREVO2: Quantitative Reperfusion After Endovascular Therapy in Acute Stroke

Fabien Scalzo, Rishi Gupta, David S. Liebeskind, 2013, Stroke.

Wavelet entropy characterization of elevated intracranial pressure

Fabien Scalzo, Marvin Bergsneider, Peng Xu, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Computational Fluid Dynamics Modeling of Symptomatic Intracranial Atherosclerosis May Predict Risk of Stroke Recurrence

Fabien Scalzo, Liping Liu, Ka Sing Wong, 2014, PloS one.

Postischemic Hyperperfusion on Arterial Spin Labeled Perfusion MRI is Linked to Hemorrhagic Transformation in Stroke

Fabien Scalzo, Jeffry R Alger, Songlin Yu, 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

Tissue Fate Prediction from Regional Imaging Features in Acute Ischemic Stroke

Xiao Hu, Fabien Scalzo, David S. Liebeskind, 2012 .

Automatic Heart Sound Signal Analysis with Reused Multi-Scale Wavelet Transform

Fabien Scalzo, F. Scalzo, 2013 .

Data Science of Stroke Imaging and Enlightenment of the Penumbra

Fabien Scalzo, David S. Liebeskind, D. Liebeskind, 2015, Front. Neurol..

Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke

Fabien Scalzo, Greg Zaharchuk, Samantha J Ma, 2019, Stroke.

Reducing backward masking through action game training.

Fabien Scalzo, Uri Polat, Daphne Bavelier, 2010, Journal of vision.

Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.

Xiao Hu, Fabien Scalzo, Jeffry R Alger, 2013, Magnetic resonance imaging.