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Fabien Scalzo
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2020 – today
- 2024
- [i8]Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR abs/2401.02192 (2024) - [i7]Kittimate Chulajata, Sean Wu, Fabien Scalzo, Eun Sang Cha:
Predicting Outcomes in Video Games with Long Short Term Memory Networks. CoRR abs/2402.15923 (2024) - 2023
- [j15]Fabien Scalzo:
A.I. in a Liberal Arts College: The Renaissance of Humanistic Education. XRDS 29(4): 10-11 (2023) - [c39]Zachary Mossing, Sean Wu, Kevin Hong, Fabien Scalzo, Eun Sang Cha:
Foil-Net: Deep Wave Classification for Hydrofoil Surfing. ISVC (2) 2023: 109-120 - [c38]Sean Wu, Naoki Kaneko, Steve Mendoza, David S. Liebeskind, Fabien Scalzo:
3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem. ISVC (1) 2023: 382-393 - [c37]Sean Wu, Vahid Mohammadzadeh, Kiumars Edalati, Jack Martinyan, Arthur Martinyan, Joseph Caprioli, Kouros Nouri-Mahdavi, Fabien Scalzo:
Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression. OMIA@MICCAI 2023: 21-31 - [i6]Sean Wu, Michael Koo, Lesley Blum, Andy Black, Liyo Kao, Fabien Scalzo, Ira Kurtz:
A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology. CoRR abs/2308.04709 (2023) - 2022
- [c36]Miaomiao Wei, Corey M. Thibeault, Robert B. Hamilton, Fabien Scalzo:
CBFV Waveform Pattern Analysis in Noninvasive Ultrasound-based ICP Monitoring. BIBM 2022: 2711-2718 - [c35]Steve Mendoza, Fabien Scalzo, Aichi Chien:
Determining and Validating Population Differences in Magnetic Resonance Angiography Using Sparse Representation. BIBM 2022: 3101-3108 - [c34]Sean Wu, Reem Al Dabagh, Anna L. Jacobsen, Helen I. Holmlund, Fabien Scalzo:
Deep Learning-Based Classification of Plant Xylem Tissue from Light Micrographs. ISVC (1) 2022: 237-248 - [c33]Arvind Vepa, Andrew Choi, Noor Nakhaei, Wonjun Lee, Noah Stier, Andrew Vu, Greyson Jenkins, Xiaoyan Yang, Manjot Shergill, Moira Desphy, Kevin Delao, Mia Levy, Cristopher Garduno, Lacy Nelson, Wandi Liu, Fan Hung, Fabien Scalzo:
Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography. WACV 2022: 3220-3229 - 2021
- [j14]Haoyue Zhang, Jennifer S. Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W. Arnold:
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time. Comput. Medical Imaging Graph. 90: 101926 (2021) - [j13]Lu Li, Meng Wei, Bo Liu, Kunakorn Atchaneeyasakul, Fugen Zhou, Zehao Pan, Shimran A. Kumar, Jason Y. Zhang, Yuehua Pu, David S. Liebeskind, Fabien Scalzo:
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images. IEEE J. Biomed. Health Informatics 25(5): 1646-1659 (2021) - [c32]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. ICCVW 2021: 3327-3336 - [c31]Haoxin Zheng, Qi Miao, Steven S. Raman, Fabien Scalzo, Kyung Hyun Sung:
Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI. ISBI 2021: 877-881 - [c30]Kellen Cheng, Kunakorn Atchaneeyasakul, Zeid Barakat, David S. Liebeskind, Fabien Scalzo:
CT Perfusion Imaging of the Brain with Machine Learning. ISVC (2) 2021: 41-52 - [c29]Bahram Jalali, Tingyi Zhou, Fabien Scalzo:
Time Stretch Computing for Ultrafast Single-shot Data Acquisition and Inference. OFC 2021: 1-3 - [i5]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. CoRR abs/2108.04938 (2021) - 2020
- [j12]Kian Jalaleddini, Seth J. Wilk, Robert B. Hamilton, Nicolas Canac, Samuel G. Thorpe, Michael John O'Brien, Mina Ranjbaran, Benjamin Delay, Amber Y. Dorn, Fabien Scalzo, Corey M. Thibeault:
Objective Assessment of Beat Quality in Transcranial Doppler Measurement of Blood Flow Velocity in Cerebral Arteries. IEEE Trans. Biomed. Eng. 67(3): 883-892 (2020) - [c28]Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh, Xiaohe Yang, Navid Amini, Apoorva Mylavarapu, Jack Martinyan, Tae Hong, Golnoush Mahmoudinezhad, Daniel Rueckert, Kouros Nouri-Mahdavi, Fabien Scalzo:
Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography. ISVC (2) 2020: 761-772 - [i4]Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh, Xiaohe Yang, Navid Amini, Apoorva Mylavarapu, Jack Martinyan, Tae Hong, Golnoush Mahmoudinezhad, Daniel Rueckert, Kouros Nouri-Mahdavi, Fabien Scalzo:
Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography. CoRR abs/2010.04552 (2020) - [i3]Haoyue Zhang, Jennifer S. Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W. Arnold:
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time. CoRR abs/2011.03350 (2020)
2010 – 2019
- 2019
- [j11]King Chung Ho, William Speier, Haoyue Zhang, Fabien Scalzo, Suzie El-Saden, Corey W. Arnold:
A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging. IEEE Trans. Medical Imaging 38(7): 1666-1676 (2019) - [c27]Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung:
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. ICCV Workshops 2019: 434-439 - [c26]Ebrahim Feghhi, Yinsheng Zhou, John Tran, David S. Liebeskind, Fabien Scalzo:
Angio-AI: Cerebral Perfusion Angiography with Machine Learning. ISVC (1) 2019: 357-367 - [c25]Alexander Liebeskind, Adit Deshpande, Julie Murakami, Fabien Scalzo:
Automatic Estimation of Arterial Input Function in Digital Subtraction Angiography. ISVC (1) 2019: 393-402 - [c24]Yannan Yu, Bhargav Parsi, William Speier, Corey W. Arnold, Min Lou, Fabien Scalzo:
LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke. MICCAI (4) 2019: 177-185 - [i2]Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung:
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI. CoRR abs/1910.02185 (2019) - 2018
- [j10]Sunghan Kim, Austin White, Fabien Scalzo, David Collier:
Elastic net ensemble classifier for event-related potential based automatic spelling. Biomed. Signal Process. Control. 46: 166-173 (2018) - [j9]Yannan Yu, Danfeng Guo, Min Lou, David S. Liebeskind, Fabien Scalzo:
Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI. IEEE Trans. Biomed. Eng. 65(9): 2058-2065 (2018) - [c23]Alice Tang, Zhiyuan Zhang, Fabien Scalzo:
Automatic Registration of Serial Cerebral Angiography: A Comparative Review. ISVC 2018: 3-14 - [c22]Kaiyuan Chen, Jingyue Shen, Fabien Scalzo:
Skull Stripping Using Confidence Segmentation Convolution Neural Network. ISVC 2018: 15-24 - [c21]Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley:
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. BrainLes@MICCAI (1) 2018: 447-455 - [i1]Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley:
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. CoRR abs/1806.03848 (2018) - 2017
- [c20]Shadnaz Asgari, Natalie K. Arevalo, Robert B. Hamilton, Dan Hanchey, Fabien Scalzo:
Cerebral blood flow velocity pulse onset detection using adaptive thresholding. BHI 2017: 377-380 - 2016
- [j8]Abhejit Rajagopal, Robert B. Hamilton, Fabien Scalzo:
Noise reduction in intracranial pressure signal using causal shape manifolds. Biomed. Signal Process. Control. 28: 19-26 (2016) - [j7]Fabien Scalzo, David S. Liebeskind:
Perfusion Angiography in Acute Ischemic Stroke. Comput. Math. Methods Medicine 2016: 2478324:1-2478324:14 (2016) - [c19]King Chung Ho, Fabien Scalzo, Karthik V. Sarma, Suzie El-Saden, Corey W. Arnold:
A temporal deep learning approach for MR perfusion parameter estimation in stroke. ICPR 2016: 1315-1320 - [c18]Benjamin Quachtran, Robert B. Hamilton, Fabien Scalzo:
Detection of Intracranial Hypertension using Deep Learning. ICPR 2016: 2491-2496 - [c17]Alice Tang, Fabien Scalzo:
Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature. ISVC (1) 2016: 3-12 - [c16]Yu Ding, Mircea Nicolescu, Dan Farmer, Yao Wang, George Bebis, Fabien Scalzo:
Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms. ISVC (1) 2016: 35-44 - [c15]Elijah Agbayani, Baixue Jia, Graham Woolf, David S. Liebeskind, Fabien Scalzo:
Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography. ISVC (1) 2016: 497-506 - [c14]Yang Fu, Jiawen Fang, Benjamin Quachtran, Natia Chachkhiani, Fabien Scalzo:
Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks. ISVC (1) 2016: 659-668 - 2015
- [j6]Sunghan Kim, Fabien Scalzo, Donatello Telesca, Xiao Hu:
Ensemble of sparse classifiers for high-dimensional biological data. Int. J. Data Min. Bioinform. 12(2): 167-183 (2015) - [c13]Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo:
Deep learning of tissue fate features in acute ischemic stroke. BIBM 2015: 1316-1321 - [c12]Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo:
Detection of hyperperfusion on arterial spin labeling using deep learning. BIBM 2015: 1322-1327 - [c11]Benjamin Quachtran, Sunil Sheth, Jeffrey L. Saver, David S. Liebeskind, Fabien Scalzo:
Probabilistic Labeling of Cerebral Vasculature on MR Angiography. ISVC (1) 2015: 538-548 - 2014
- [c10]Pouye Sedighian, Andrew W. Subudhi, Fabien Scalzo, Shadnaz Asgari:
Pediatric heart sound segmentation using Hidden Markov Model. EMBC 2014: 5490-5493 - 2013
- [j5]Fabien Scalzo, David S. Liebeskind, Xiao Hu:
Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features. IEEE Trans. Biomed. Eng. 60(1): 235-239 (2013) - 2012
- [j4]Fabien Scalzo, Shadnaz Asgari, Sunghan Kim, Marvin Bergsneider, Xiao Hu:
Bayesian tracking of intracranial pressure signal morphology. Artif. Intell. Medicine 54(2): 115-123 (2012) - [j3]Sunghan Kim, Fabien Scalzo, Marvin Bergsneider, Paul M. Vespa, Neil Martin, Xiao Hu:
Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function. IEEE Trans. Biomed. Eng. 59(3): 619-626 (2012) - 2010
- [c9]Fabien Scalzo, Qing Hao, Jeffrey R. Alger, Xiao Hu, David S. Liebeskind:
Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models. ISVC (2) 2010: 292-301 - [c8]Fabien Scalzo, Qing Hao, Alan M. Walczak, Xiao Hu, Yiemeng Hoi, Kenneth R. Hoffmann, David S. Liebeskind:
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms. ISVC (3) 2010: 359-367
2000 – 2009
- 2009
- [j2]Fabien Scalzo, Peng Xu, Shadnaz Asgari, Marvin Bergsneider, Xiao Hu:
Regression analysis for peak designation in pulsatile pressure signals. Medical Biol. Eng. Comput. 47(9): 967-977 (2009) - [j1]Xiao Hu, Peng Xu, Fabien Scalzo, Paul M. Vespa, Marvin Bergsneider:
Morphological Clustering and Analysis of Continuous Intracranial Pressure. IEEE Trans. Biomed. Eng. 56(3): 696-705 (2009) - 2008
- [c7]Fabien Scalzo, George Bebis, Mircea Nicolescu, Leandro A. Loss, Alireza Tavakkoli:
Feature Fusion Hierarchies for gender classification. ICPR 2008: 1-4 - [c6]Fabien Scalzo, Peng Xu, Marvin Bergsneider, Xiao Hu:
Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals. ISVC (1) 2008: 370-380 - 2007
- [c5]Fabien Scalzo, Justus H. Piater:
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models. CVPR 2007 - 2006
- [c4]Fabien Scalzo, Justus H. Piater:
Unsupervised Learning of Dense Hierarchical Appearance Represe. ICPR (2) 2006: 395-398 - 2005
- [c3]Fabien Scalzo, Justus H. Piater:
Statistical Learning of Visual Feature Hierarchies. CVPR Workshops 2005: 44 - [c2]Sébastien Jodogne, Fabien Scalzo, Justus H. Piater:
Task-Driven Learning of Spatial Combinations of Visual Features. CVPR Workshops 2005: 48 - [c1]Fabien Scalzo, Justus H. Piater:
Unsupervised Learning of Visual Feature Hierarchies. MLDM 2005: 243-252
Coauthor Index
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last updated on 2024-07-09 03:43 CEST by the dblp team
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