Listed below are some of the Chester F. Carlson Center for Imaging Science's recent scholarly works.

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Documents from 2025

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End-to-End Systems Limitations in Hyperspectral Target Detection using Parametric Modeling and Subpixel Lattice Targets for Validation, Chase Canas

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Femtosecond Laser Figuring and Polishing for Freeform Optics Fabrication, Gong Chen

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From Sim to 6DOF: Deep Learning for Real-Time Satellite Pose Estimation from Resolved Ground-Based Imagery, Thomas W.N. Dickinson

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Macroscopic Roughness Modeling of Satellite Multi-Layer Insulation Reflectance, Kevin P. Donnelly

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Robust Multimodal Fusion for Oncology, Dominic Flack

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Steering through change: How aging eyes and stroke-induced vision loss affect driver control, Arianna P. Giguere

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Towards Robust Deep Learning for Medical Imaging with Limited and Noisy Labeled Data, Bidur Khanal

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Advancing the Utility of Unmanned Aerial Systems (UAS)-Based Imaging Techniques in Broadacre Agriculture: A Multimodal Case Study on Table Beets, Mohammad Shahriar Saif

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PM2.5 Forecasting at U.S. Embassies and Consulates Worldwide Using NASA Model Powered by Machine Learning, Junhyeon Seo, Alqamah Sayeed, Seohui Park, John Kerekes, Stephanie Christel, Mary Tran, and Pawan Gupta

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Enhanced 3D Sub-Canopy Mapping via Airborne Full-Waveform LiDAR, Robert J. I. Wible

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Towards Vision Intelligence-Based Liver Surgery, Zixin Yang

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On Studying Transformer Networks for Volume-to-Surface Registration of Inhomogeneous Soft Bodies for Liver Laparoscopy, Michael Adam Young

Documents from 2024

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On the Optimization of Sensors for the Remote Sensing of Crop Yield, Nathan M. Burglewski

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Methodology for Volumetric Estimation of Condensed Water Vapor Plumes from Remotely Sensed Imagery, Ryan J. Connal

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A New Vicarious Technique for Radiometric and Spatial Calibration of Drone-based Multispectral and Hyperspectral Imaging Systems, David N. Conran

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Towards Human-Embodied Visual Intelligence, Cheng Han

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Emergence of Preferential Flow Paths and Intermittent Dynamics in Emulsion Transport in Porous Media, Michael Izaguirre

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Transfer learning across domains and sensing modalities, Chowdhury Sadman Jahan

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Advancements in Scanning Electron Microscopy, Surya Kamal

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Scattering Spectroscopy of Granular Media for Remote Sensing Applications, Chris H. Lee

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Morphology Classification of High Redshift Galaxies from JWST NIRCam Images using Unsupervised Machine Learning, James Liu

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Patient Specific Tissue Emulating Phantoms for Image-guided Intervention Applications, Kelly Merrell

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Integrative Hyperspectral Approaches for Advanced Soil Property Analysis and Environmental Monitoring, Nayma Binte Nur

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Multimodal Data Fusion and Model Compression Methods for Computer Vision, Manish Sharma

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Optical Differentiation Wavefront Sensor with Pixelated Filters Toward High Performance Metrology, Biswa R. Swain

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Spatiotemporal Alignment of Event Stream with Images and Active Illumination, Abhijan Wasti

Documents from 2023

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Understanding Image Quality for Deep Learning-Based Computer Vision, Austin Bergstrom

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Graph-based Learning Networks for Automatic Pigment Mapping of Historical Artifacts, Bei Cao

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Exploitation of spatial content for enhancing pansharpening and image fusion performance, Rey Ducay

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Shift Variant Image Deconvolution using Deep Learning, Arnab Ghosh

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From Fully-Supervised Single-Task to Semi-Supervised Multi-Task Deep Learning Architectures for Segmentation in Medical Imaging Applications, S M Kamrul Hasan

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Look at the Bigger Picture: Analyzing Eye Tracking Data with Multi-Dimensional Visualization, Anjali Jogeshwar

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LIDAR Voxel Segmentation Using 3D Convolutional Neural Networks, Yuval H. Levental

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Relative Effectiveness of a Radionuclide (210Pb), Surface Elevation Table (SET), and LiDAR At Monitoring Mangrove Forest Surface Elevation Change, Richard MacKenzie, Ken Krauss, Nicole Cormier, Eugene Eperiam, Jan van Aardt, Ali Rouzbeh-Kargar, Jessica Grow, and Val Klump

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A Study on the Impact of Nonlinear Effects on Hyperspectral Sub-Pixel Target Detection, Colin J. Maloney

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Techniques to Create a Realistic Digital Collection of Near Planar Cultural Heritage Objects, Snehal A. Padhye

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The Geometry and Topology of Landslides, Kamal Rana

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Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery, Mohammad Saif, Robert Chancia, Sarah Pethybridge, Sean Murphy, Amir Hassanzadeh, and Jan van Aardt

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An alternative to Hapke’s macroscopic roughness correction, Dylan J. Shiltz and Charles M. Bachmann

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Towards Bias-Resilient Deep Neural Networks, Robik Shrestha

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Diffractive Light and Solar Sails, Prateek Ranjan Srivastava

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Text restoration in palimpsested historical manuscripts using deep learning methods, Anna Starynska

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A Deep Learning-based Pipeline to Generate Patient-specific Anatomical Models of the Heart Using Cardiac MRI, Roshan Reddy Upendra

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Demonstration of a Virtual Reality Driving Simulation Platform, Mingming Wang

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LWIR Spectral Variability Integration and Improvements to an Earth Observing Statistical Performance Model, Runchen Zhao

Documents from 2022

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Towards Multimodal Open-World Learning in Deep Neural Networks, Manoj Acharya

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Deep into the Eyes: Applying Machine Learning to improve Eye-Tracking, Aayush Kumar Chaudhary

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Progressing sUAS-based Remote Sensing Data Collection Automation: Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Multispectral and Hyperspectral Remote Sensing Data, Luke J.R. DeCoffe

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Learning to see and hear in 3D: Virtual reality as a platform for multisensory perceptual learning, Catherine A. Fromm

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The EaRTH Disk Model: Analysis and Integration of Protoplanetary Disk Mineralogy and Structure, William Allen Richard Grimble

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On the Use of Imaging Spectroscopy from Unmanned Aerial Systems (UAS) to Model Yield and Assess Growth Stages of a Broadacre Crop, Amirhossein Hassanzadeh

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Towards Efficient Lifelong Machine Learning in Deep Neural Networks, Tyler L. Hayes

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Radiometrically-Accurate Hyperspectral Data Sharpening, Sihan Huang

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On uncertainty propagation in image-guided renal navigation: Exploring uncertainty reduction techniques through simulation and in vitro phantom evaluation, Peter Jackson

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Virtual Cleaning of Works of Art Using Deep Learning Based Approaches, Morteza Maali Amiri

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Deep Learning for Medical Imaging in a Biased Environment, Usman Mahmood

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Cochlear Compartments Segmentation and Pharmacokinetics using Micro Computed Tomography Images, Sanketh Satyanarayana Moudgalya

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Manifold Based Deep Learning: Advances and Machine Learning Applications, Navya Nagananda

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Computational Imaging and its Application, Helen Peng

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Learning representations in the hyperspectral domain in aerial imagery, Aneesh Rangnekar

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Radiometric Effects of Centimeter Scale Roughness of Bare Soils, Dylan J. Shiltz

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Reflectance and Emittance Spectra of Intimately Mixed and Layered Media, Charles A. Tabor Jr

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Deep Feature Learning and Adaptation for Computer Vision, Abu Md Niamul Taufique

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Toward Structural Characterization of Broadacre Crops Using UAS-based 3D Point Clouds, Fei Zhang

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Comparison of Methane Plume Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions, Lucy Zimmerman

Documents from 2021

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An Experimental Campaign to Collect Multiresolution Hyperspectral Data with Ground Truth, Joseph A. Carrock II

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Toward improved crop management using spectral sensing with unmanned aerial systems, Robert Ormal Chancia

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Measurements of Radiation Pressure on Diffractive Films, Ying-Ju Lucy Chu

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Hyperspectral Polarization Data for Particulate Materials, Rachel Golding

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Towards Robust Gaze Estimation and Classification in Naturalistic Conditions, Rakshit S. Kothari

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Volume-based Estimates of Left Ventricular Blood Pool Volume and Ejection Fraction from Multi-plane 2D Ultrasound Images, Dawei Liu

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Robust Multiple Object Tracking Using ReID features and Graph Convolutional Networks, Christian Lusardi

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1D Conditional Generative Adversarial Network for Spectrum-to-spectrum Translation of Simulated Chemical Reflectance signatures, Cara Murphy and John Kerekes

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Physics-guided Neural Network for Predicting Chemical Signatures, Cara Murphy and John Kerekes

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Methods for Generating High-Fidelity Trace Chemical Residue Reflectance Signatures for Active Spectroscopy Classification Applications, Cara Patrice Murphy

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1D Conditional Generative Adversarial Network for Spectrum-to-Spectrum Translation of Simulated Chemical Reflectance Signatures, Cara P. Murphy and John Kerekes

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Temporal Requirements for Future Landsat Systems for Agricultural Monitoring, Emily Myers

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An Examination of Environmental Applications for Uncooled Thermal Infrared Remote Sensing Instruments, Cody M. Webber

Documents from 2020

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Automated brain segmentation methods for clinical quality MRI and CT images, Viraj Reddy Adduru

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Simulation of Internet of Things Water Management for Efficient Rice Irrigation in Rwanda, Peace Bamurigire, Anthony Vodacek, Andras Valko, and Said Rutabayiro Ngoga

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Clearing the Clouds: Extracting 3D information from amongst the noise, Alexander Fafard

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Determining improvements in Landsat spectral sampling for inland water quality monitoring, Ryan T. Ford and Anthony Vodacek

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Application of Thermal and Ultraviolet Sensors in Remote Sensing of Upland Ducks, Matthew W. Helvey

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Sub-pixel Sensitivity Variations and their Effects on Precision Aperture Photometry, Alexis M. Irwin

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Design of a comprehensive modeling, characterization, rupture risk assessment and visualization pipeline for Abdominal Aortic Aneurysms, Golnaz Jalalahmadi

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Advancing Multi-Modal Deep Learning: Towards Language-Grounded Visual Understanding, Kushal Kafle

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The Use of Deep Learning Methods to Assist in the Classification of Seismically Vulnerable Dwellings, Salman Khan

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Automatic Pigment Classification in Painted Works of Art from Diffuse Reflectance Image Data, Tania Kleynhans

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Representations and representation learning for image aesthetics prediction and image enhancement, Michal Kucer

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Query-Driven Global Graph Attention Model for Visual Parsing: Recognizing Handwritten and Typeset Math Formulas, Mahshad Mahdavi

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Low Cost Radiometer Design for Landsat Surface Temperature Validation, Jonathan Miller

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Practical Model for Improved Classification of Trace Chemical Residues on Surfaces in Active Spectroscopic Measurements, Cara P. Murphy, John P. Kerekes, Derek A. Wood, and Anish K. Goyal

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Practical Model for Improved Classification of Trace Chemical Residues on Surfaces in Active Spectroscopic Measurements, Cara P. Murphy, John Kerekes, Derek Wood, and Anish Goyal

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Gaze Estimation Based on Multi-view Geometric Neural Networks, Devarth Parikh

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Deep Convolutional Networks without Learning the Classifier Layer, Zhongchao Qian

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Open Set Classification for Deep Learning in Large-Scale and Continual Learning Models, Ryne Roady

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Evaluating Appearance Differences of Color 3D Printed Objects, Matt Ronnenberg

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Deciduous Broadleaf Bidirectional Scattering Distribution Function (BSDF): Measurements, Modeling, and Impacts on Waveform Lidar Forest Assessments, Benjamin D. Roth

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On the use of rapid-scan, low point density terrestrial laser scanning (TLS) for structural assessment of complex forest environments, Ali Rouzbeh Kargar

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Randomizable phenology-dependent corn canopy for simulated remote sensing of agricultural scenes, M Grady Saunders