G. Rohde

发表

Comprehensive approach for correction of motion and distortion in diffusion‐weighted MRI

P. Basser, C. Pierpaoli, S. Marenco, 2004, Magnetic resonance in medicine.

New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter

P. Basser, Y. Assaf, G. Rohde, 2004, Magnetic resonance in medicine.

Sliced Wasserstein Kernels for Probability Distributions

Yang Zou, Gustavo K. Rohde, Soheil Kolouri, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Detection of malignant mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens

A. B. Tosun, G. Rohde, S. Kolouri, 2015, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Generalized Sliced Wasserstein Distances

Roland Badeau, Gustavo K. Rohde, Soheil Kolouri, 2019, NeurIPS.

Analyzing the contribution of cardiac pulsation to the variability of quantities derived from the diffusion tensor

C. Pierpaoli, S. Marenco, G. Rohde, 2002 .

Deformation‐based nuclear morphometry: Capturing nuclear shape variation in HeLa cells

Robert F Murphy, Gustavo K Rohde, R. Murphy, 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry

Robert F. Murphy, Gustavo K. Rohde, Wei Wang, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Joint modeling of cell and nuclear shape variation

Robert F. Murphy, Gustavo K. Rohde, Leah Edelstein-Keshet, 2015, Molecular biology of the cell.

Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images

Wei Wang, Gustavo K Rohde, John A Ozolek, 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Analysis of live cell images: Methods, tools and opportunities.

Jens Rittscher, Raghu Machiraju, Gustavo Rohde, 2017, Methods.

Wasserstein Embedding for Graph Learning pdf

Heiko Hoffmann, Navid Naderializadeh, Gustavo K. Rohde, 2020, ICLR.

High-throughput arrays for rapid characterization of solution-processable transparent conducting electrodes.

G. Rohde, C. Bettinger, S. Kustra, 2012, Small.

Abstract TP274: Comparison of Human and Machine Learning Based Facial Weakness Detection

Haydon M. Pitchford, Mark M. McDonald, G. Rohde, 2019, Stroke.

Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications

Gustavo K. Rohde, Ke Wang, Jian Xiao, 2021, IET Image Process..

Stochastic analysis of recurrence plots with applications to the detection of deterministic signals

Gustavo K. Rohde, Jonathan M. Nichols, Frank Bucholtz, 2008 .

Intensity Analysis of Recurrence Plots for the Detection of Deterministic Signals in Noise

G. Rohde, F. Bucholtz, J. Nichols, 2006 .

Entropy-Based Adaptive Nuclear Texture Features are Independent Prognostic Markers in a Total Population of Uterine Sarcomas

Fritz Albregtsen, Birgitte Nielsen, Håvard E Danielsen, 2014, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Signal Estimation based on Mutual Information Maximization

J. V. Michalowicz, G. Rohde, F. Bucholtz, 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

A transport model for broadening of a linearly polarized, coherent beam due to inhomogeneities in a turbulent atmosphere

G. Rohde, J. Nichols, T. Emerson, 2019, Journal of Modern Optics.

Assessing Postconcussive Reaction Time Using Transport-Based Morphometry of Diffusion Tensor Images

G. Rohde, A. Ghodadra, S. Kundu, 2019, American Journal of Neuroradiology.

A generative model of microtubule distributions, and indirect estimation of its parameters from fluorescence microscopy images

Aabid Shariff, Robert F Murphy, Gustavo K Rohde, 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

A comprehensive approach for correcting motion and distortion in diffusion weighted MRI

P. Basser, C. Pierpaoli, S. Marenco, 2002 .

Indirect learning of generative models for microtubule distribution from fluorescence microscope images

R. Murphy, G. Rohde, A. Shariff, 2009 .

Sliced Wasserstein Auto-Encoders

Gustavo K. Rohde, Soheil Kolouri, Charles E. Martin, 2018, ICLR.

Analytic Expressions for the Uncertainty of DTI-derived Parameters and their Validation Using Monte Carlo Methods

P. Basser, Lin-Ching Chang, G. Rohde, 2005 .

The influence of surgical correction on white matter microstructural integrity in rabbits with familial coronal suture craniosynostosis.

G. Rohde, W. Fellows-Mayle, L. Foley, 2015, Neurosurgical focus.

Poster: A Pilot Study On Camera-based Neurological Deficit Detection

Chad M. Aldridge, G. Rohde, T. McMurry, 2020, 2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

G. Rohde, S. Kolouri, Xuwang Yin, 2019, International Conference on Learning Representations.

Facial Weakness Analysis and Quantification of Static Images

Gustavo Rohde, Yan Zhuang, Omar Uribe, 2020, IEEE journal of biomedical and health informatics.

The Cumulative Distribution Transform and Linear Pattern Classification pdf

Gustavo K. Rohde, Soheil Kolouri, Se Rim Park, 2015, Applied and Computational Harmonic Analysis.

Transport-Based Pattern Theory: A Signal Transformation Approach pdf

Gustavo K. Rohde, Liam Cattell, G. Rohde, 2018, ArXiv.

A Transportation Lp\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L^p$$\end{document} Distance for Signal Analysis

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2016, Journal of Mathematical Imaging and Vision.

A Transportation Lp Distance for Signal Analysis pdf

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2016, ArXiv.

Optimal Mass Transport: Signal processing and machine-learning applications

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2017, IEEE Signal Processing Magazine.

A continuous linear optimal transport approach for pattern analysis in image datasets

Gustavo K. Rohde, Soheil Kolouri, John A. Ozolek, 2016, Pattern Recognit..

Estimating intensity variance due to noise in registered images

Carlo Pierpaoli, Gustavo K. Rohde, Peter J. Basser, 2005, SPIE Medical Imaging.

Toward the virtual cell: Automated approaches to building models of subcellular organization “learned” from microscopy images

Jieyue Li, Robert F Murphy, Gustavo K Rohde, 2012, BioEssays : news and reviews in molecular, cellular and developmental biology.

Valproic Acid Limits Pancreatic Recovery after Pancreatitis by Inhibiting Histone Deacetylases and Preventing Acinar Redifferentiation Programs.

Akif Burak Tosun, John F Eisses, Gustavo K Rohde, 2015, The American journal of pathology.

FAST GLOBAL IMAGE REGISTRATION USING RANDOM PROJECTIONS

Dennis M. Healy, Gustavo K. Rohde, D. Healy, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Estimating Microtubule Distributions from 2D Immunofluorescence Microscopy Images Reveals Differences among Human Cultured Cell Lines

Jieyue Li, Robert F. Murphy, Aabid Shariff, 2012, PloS one.

Computational image analysis of nuclear morphology associated with various nuclear-specific aging disorders

Gustavo K. Rohde, Patricia L. Opresko, Wei Wang, 2011, Nucleus.

Multi-channel registration of diffusion tensor images using directional information

Carlo Pierpaoli, Gustavo K. Rohde, Sinisa Pajevic, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

A Comprehensive Approach for Multi-channel Image Registration

Carlo Pierpaoli, Gustavo K. Rohde, Peter J. Basser, 2003, WBIR.

Transport-based morphometry of nuclear structures of digital pathology images in cancers.

L. Pantanowitz, G. Rohde, Rajendra Singh, 2023, ArXiv.

Correction of motion artifact in cardiac optical mapping using image registration

Benoit M. Dawant, Gustavo K. Rohde, Shien-Fong Lin, 2005, IEEE Transactions on Biomedical Engineering.

A Computer-Based Automated Algorithm for Assessing Acinar Cell Loss after Experimental Pancreatitis

Gustavo K. Rohde, John A. Ozolek, Akif Burak Tosun, 2014, PloS one.

SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection

Gustavo K. Rohde, Rajendra Singh, John A. Ozolek, 2019, IEEE Journal of Biomedical and Health Informatics.

Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis

Gustavo K. Rohde, Chi Liu, John A. Ozolek, 2016, LABELS/DLMIA@MICCAI.

Detecting and segmenting cell nuclei in two-dimensional microscopy images

Gustavo K. Rohde, Fei Shang, John A. Ozolek, 2016, Journal of pathology informatics.

Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning

Gustavo K. Rohde, Saurav Basu, Soheil Kolouri, 2014, Medical Image Anal..

Cancer diagnosis by nuclear morphometry using spatial information

Jia Guo, Gustavo K. Rohde, Hu Huang, 2014, Pattern Recognit. Lett..

Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry

Soheil Kolouri, Saurav Basu, Gustavo K Rohde, 2014, Proceedings of the National Academy of Sciences.

An Optimal Transportation Approach for Nuclear Structure-Based Pathology

Gustavo K. Rohde, Ann B. Lee, Wei Wang, 2011, IEEE Transactions on Medical Imaging.

Detecting and Classifying Cancers from Image Data Using Optimal Transportation

Gustavo K. Rohde, Ann B. Lee, Wei Wang, 2010 .

Methods to label, image, and analyze the complex structural architectures of microvascular networks

Bruce A Corliss, Corbin Mathews, Richard Doty, 2018, Microcirculation.

Extraction of Individual Filaments from 2D Confocal Microscopy Images of Flat Cells

Gustavo K. Rohde, Saurav Basu, Chi Liu, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Localizing and extracting filament distributions from microscopy images

S Basu, C Liu, G K Rohde, 2015, Journal of microscopy.

Retracted: Localizing and extracting filament distributions from microscopy images

S Basu, G K Rohde, G. Rohde, 2013, Journal of microscopy.

Predictive Nuclear Chromatin Characteristics of Melanoma and Dysplastic Nevi

Gustavo K. Rohde, Matthew G. Hanna, Rajendra Singh, 2017, Journal of pathology informatics.

An In-Depth Survey of Underwater Image Enhancement and Restoration

Ke Hu, Chongyi Li, Gustavo Rohde, 2019, IEEE Access.

A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images

Gustavo K. Rohde, Saurav Basu, Wei Wang, 2012, International Journal of Computer Vision.

Impact of Altering Various Image Parameters on Human Epidermal Growth Factor Receptor 2 Image Analysis Data Quality

Gustavo K. Rohde, Liron Pantanowitz, Yue Huang, 2017, Journal of pathology informatics.

Transport-based analysis, modeling, and learning from signal and data distributions pdf

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2016, ArXiv.

Maximum empirical likelihood estimation of time delay in independently and identically distributed noise

Gustavo K. Rohde, Jonathan M. Nichols, Frank Bucholtz, 2014, IET Signal Process..

Interpolation Artifacts in Sub-Pixel Image Registration

Dennis M. Healy, Akram Aldroubi, Gustavo K. Rohde, 2009, IEEE Transactions on Image Processing.

Adversarial Example Detection and Classification With Asymmetrical Adversarial Training

G. Rohde, S. Kolouri, Xuwang Yin, 2019, ICLR 2020.

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model pdf

Gustavo K. Rohde, Soheil Kolouri, Charles E. Martin, 2018, ArXiv.

Cell Image Classification: A Comparative Overview

Cailey E. Fitzgerald, G. Rohde, Xuwang Yin, 2019, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Penalized Fisher discriminant analysis and its application to image-based morphometry

Yilin Mo, Gustavo K. Rohde, Wei Wang, 2011, Pattern Recognit. Lett..

Radon Cumulative Distribution Transform Subspace Modeling for Image Classification

A. Aldroubi, G. Rohde, S. Kolouri, 2020, Journal of Mathematical Imaging and Vision.

The Radon Cumulative Distribution Transform and Its Application to Image Classification

Gustavo K. Rohde, Soheil Kolouri, Se Rim Park, 2015, IEEE Transactions on Image Processing.

The adaptive bases algorithm for intensity-based nonrigid image registration

Benoit M. Dawant, Akram Aldroubi, Gustavo K. Rohde, 2003, IEEE Transactions on Medical Imaging.

Chaotic signal detection and estimation based on attractor sets: applications to secure communications.

G K Rohde, F Bucholtz, G. Rohde, 2008, Chaos.

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning

Shadpour Demehri, Mustapha Bouhrara, Gustavo K Rohde, 2020, Proceedings of the National Academy of Sciences.

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

Heiko Hoffmann, Gustavo K. Rohde, Soheil Kolouri, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Label-Efficient Breast Cancer Histopathological Image Classification

Qi Qi, Yue Huang, Xinghao Ding, 2019, IEEE Journal of Biomedical and Health Informatics.

Carnegie Mellon University bioimaging day 2014: Challenges and opportunities in digital pathology

Gustavo K. Rohde, Liron Pantanowitz, John A. Ozolek, 2014, Journal of pathology informatics.

Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images

Gustavo K. Rohde, Xinghao Ding, Yue Huang, 2017, IEEE Journal of Biomedical and Health Informatics.

Divide-and-Conquer Adversarial Detection pdf

Gustavo K. Rohde, Soheil Kolouri, Xuwang Yin, 2019, ArXiv.

A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods

Gustavo K. Rohde, Wei Wang, Cheng Chen, 2011, Int. J. Biomed. Imaging.

Transport-based single frame super resolution of very low resolution face images

Gustavo K. Rohde, Soheil Kolouri, G. Rohde, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Parametric Signal Estimation Using the Cumulative Distribution Transform

Gustavo K. Rohde, Jonathan M. Nichols, Abu Hasnat Mohammad Rubaiyat, 2020, IEEE Transactions on Signal Processing.

Video-Based Facial Weakness Analysis

Gustavo K. Rohde, Yan Zhuang, Omar Uribe, 2021, IEEE Transactions on Biomedical Engineering.

A supervised learning framework for pancreatic islet segmentation with multi‐scale color‐texture features and rolling guidance filters

Yue Huang, Chi Liu, John F Eisses, 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Investigating the Need for Calibration to Track Eye Movements: A Feasibility Study

Gustavo K. Rohde, Yan Zhuang, Mohamed Abul Hassan Ameen, 2021 .

Estimating intensity variance due to noise in registered images: Applications to diffusion tensor MRI

Carlo Pierpaoli, Gustavo K. Rohde, Peter J. Basser, 2005, NeuroImage.

Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression

Gustavo K. Rohde, Erik B. Dam, Shadpour Demehri, 2021, Proceedings of the National Academy of Sciences of the United States of America.

Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity

Jelena Kovacevic, Gustavo K. Rohde, Markus Püschel, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Regional distribution of measurement error in diffusion tensor imaging

Carlo Pierpaoli, Gustavo K. Rohde, Daniel R. Weinberger, 2006, Psychiatry Research: Neuroimaging.

Altered Cell Mechanics from the Inside: Dispersed Single Wall Carbon Nanotubes Integrate with and Restructure Actin

Gustavo K. Rohde, Saurav Basu, Mohammad R. K. Mofrad, 2012, Journal of functional biomaterials.

A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching

Wei Wang, Cheng Chen, Gustavo K Rohde, 2013, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification pdf

Akram Aldroubi, Gustavo K. Rohde, Ivan Medri, 2021, Foundations of Data Science.

Wasserstein Embedding for Graph Learning pdf

Navid Naderializadeh, Gustavo K. Rohde, Soheil Kolouri, 2020, ICLR.

Signed Cumulative Distribution Transform for Parameter Estimation of 1-D Signals

Rocio Diaz Martin, A. Aldroubi, G. Rohde, 2022, ArXiv.

Nearest Subspace Search in The Signed Cumulative Distribution Transform Space For 1d Signal Classification

G. Rohde, A. Rubaiyat, Shiying Li, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust efficient estimation of heart rate pulse from video.

Shuchang Xu, Lingyun Sun, Gustavo Kunde Rohde, 2014, Biomedical optics express.

Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules

Jieyue Li, Robert F. Murphy, Aabid Shariff, 2015, PLoS Comput. Biol..

An optimal transport model for imaging in atmospheric turbulence

Gustavo K. Rohde, Jonathan M. Nichols, Timothy Doster, 2017, 1705.01050.

Pathological facial weakness detection using computational image analysis

Gustavo K. Rohde, Yan Zhuang, Mark McDonald, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]

Gustavo K. Rohde, Soheil Kolouri, Xuwang Yin, 2020, IEEE Signal Processing Magazine.

The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images

G. Rohde, Shiying Li, A. Rubaiyat, 2023, arXiv.org.

Partitioning signal classes using transport transforms for data analysis and machine learning

A. Aldroubi, G. Rohde, Shiying Li, 2020, Sampling Theory, Signal Processing, and Data Analysis.

Reconstructing high-resolution cardiac MR movies from under-sampled frames

Gustavo K. Rohde, Liam Cattell, Craig H. Meyer, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

F-DIT-V: An Automated Video Classification Tool for Facial Weakness Detection

Gustavo Rohde, Yan Zhuang, Omar Uribe, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Characterizing morphology differences from image data using a modified fisher criterion

Yilin Mo, Gustavo K. Rohde, Wei Wang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A template matching approach for segmenting microscopy images

Gustavo K. Rohde, Wei Wang, Cheng Chen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

A pixel classification system for segmenting biomedical images using intensity neighborhoods and dimension reduction

Gustavo K. Rohde, Wei Wang, Cheng Chen, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The Radon Cumulative Distribution Transform and Its Application to Image Classification

G. Rohde, Se Rim Park, Soheil Kolouri, 2015, IEEE Transactions on Image Processing.

Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection pdf

Gustavo K. Rohde, Xuwang Yin, Shiying Li, 2020, ArXiv.

Instance-based generative biological shape modeling

Robert F. Murphy, Gustavo K. Rohde, Wei Wang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images

Carlo Pierpaoli, Gustavo K. Rohde, Lin-Ching Chang, 2005, SPIE Medical Imaging.

Adaptive free-form deformation for interpatient medical image registration

Benoit M. Dawant, Akram Aldroubi, Gustavo K. Rohde, 2001, SPIE Medical Imaging.

An In-Depth Survey of Underwater Image Enhancement and Restoration

G. Rohde, Chongyi Li, Miao Yang, 2019, IEEE Access.

Discovery and visualization of structural biomarkers from MRI using transport-based morphometry

Arthur F. Kramer, Gustavo K. Rohde, Soheil Kolouri, 2017, NeuroImage.

A symmetric deformation-based similarity measure for shape analysis

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A linear transport-based embedding method for analyzing biomedical images

Gustavo K. Rohde, Saurav Basu, Wei Wang, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).