Gustavo K. Rohde
Orcid: 0000-0003-1703-9035Affiliations:
- University of Virginia, Charlottesville, VA, USA
- Carnegie Mellon University, Pittsburgh, USA
According to our database1,
Gustavo K. Rohde
authored at least 102 papers
between 2001 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, February, 2024
2023
Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-Tracker.
IEEE Trans. Biomed. Eng., June, 2023
Invariance encoding in sliced-Wasserstein space for image classification with limited training data.
Pattern Recognit., May, 2023
System Identification Using the Signed Cumulative Distribution Transform In Structural Health Monitoring Applications.
CoRR, 2023
The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images.
CoRR, 2023
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection.
CoRR, 2023
2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Aanalysis.
Proceedings of the Topological, 2022
Nearest Subspace Search in The Signed Cumulative Distribution Transform Space For 1d Signal Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression.
Proc. Natl. Acad. Sci. USA, 2021
J. Math. Imaging Vis., 2021
Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications.
IET Image Process., 2021
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification.
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE J. Biomed. Health Informatics, 2020
IEEE Signal Process. Mag., 2020
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.
Proc. Natl. Acad. Sci. USA, 2020
Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection.
CoRR, 2020
Partitioning signal classes using transport transforms for data analysis and machine learning.
CoRR, 2020
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 5th IEEE/ACM International Conference on Connected Health: Applications, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
IEEE J. Biomed. Health Informatics, 2019
IEEE Signal Process. Lett., 2019
CIRCOAST: a statistical hypothesis test for cellular colocalization with network structures.
Bioinform., 2019
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry.
NeuroImage, 2018
CoRR, 2018
Training classifiers with limited data using the Radon cumulative distribution transform.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images.
IEEE J. Biomed. Health Informatics, 2017
IEEE Signal Process. Mag., 2017
J. Math. Imaging Vis., 2017
Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
The Radon Cumulative Distribution Transform and Its Application to Image Classification.
IEEE Trans. Image Process., 2016
A continuous linear optimal transport approach for pattern analysis in image datasets.
Pattern Recognit., 2016
CoRR, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules.
PLoS Comput. Biol., 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Pattern Recognit. Lett., 2014
Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning.
Medical Image Anal., 2014
Maximum empirical likelihood estimation of time delay in independently and identically distributed noise.
IET Signal Process., 2014
Quantifying and visualizing variations in sets of images using continuous linear optimal transport.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Learning and visualizing statistical relationships between protein distributions from microscopy images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Optimized Nonlinear Discriminant Analysis (ONDA) for Supervised Pixel Classification.
IEEE Signal Process. Lett., 2013
A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images.
Int. J. Comput. Vis., 2013
New methods for quantifying and visualizing information from images of cells: An overview.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
IEEE Trans. Medical Imaging, 2011
Penalized Fisher discriminant analysis and its application to image-based morphometry.
Pattern Recognit. Lett., 2011
A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods.
Int. J. Biomed. Imaging, 2011
Characterizing morphology differences from image data using a modified fisher criterion.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Automated estimation of microtubule model parameters from 3-D live cell microscopy images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
A pixel classification system for segmenting biomedical images using intensity neighborhoods and dimension reduction.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
IEEE Trans. Image Process., 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Multiresolution identification of germ layer components in teratomas derived from human and nonhuman primate embryonic stem cells.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Deformable registration of abdominal CT images: tissue stiffness constraints using B-splines.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
IEEE Trans. Biomed. Eng., 2005
Estimating intensity variance due to noise in registered images: Applications to diffusion tensor MRI.
NeuroImage, 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
IEEE Trans. Medical Imaging, 2003
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003
2002
Proceedings of the Medical Imaging 2002: Image Processing, 2002
2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001