Automatic segmentation of carcinoma in radiographs. - Fatema A. Albalooshi; Sara Smith; Yakov Diskin; Paheding Sidike; Vijayan K. Asari (AIPR, 2014)

Illumination-invariant pattern recognition using fringe-adjusted joint transform correlator and monogenic signal. - Paheding Sidike; Vijayan K. Asari; Mohammad S. Alam (Image Processing: Machine Vision Applications, 2014)

Recent progress in wide-area surveillance: protecting our pipeline infrastructure. - Vijayan K. Asari; Sidike Paheding; Chen Cui; Varun Santhaseelan (IMAWM, 2015)

Multiple object detection in hyperspectral imagery using spectral fringe-adjusted joint transform correlator. - Paheding Sidike; Vijayan K. Asari; Mohammad S. Alam (Image Processing: Machine Vision Applications, 2015)

Directional ringlet intensity feature transform for tracking. - Evan Krieger; Paheding Sidike; Theus H. Aspiras; Vijayan K. Asari (ICIP, 2015)

State Preserving Extreme Learning Machine for face recognition. - Md. Zahangir Alom; Paheding Sidike; Vijayan K. Asari; Tarek M. Taha (IJCNN, 2015)

Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications. - Almabrok E. Essa; Paheding Sidike; Vijayan K. Asari (Int. J. Monit. Surveillance Technol. Res., 2015)

Boosted ringlet features for robust object tracking. - Evan Krieger; Almabrok E. Essa; Paheding Sidike; Theus H. Aspiras; Vijayan K. Asari (AIPR, 2016)

Non-regularized State Preserving Extreme Learning Machine for Natural Scene Classification. - Paheding Sidike; Md. Zahangir Alom; Vijayan K. Asari; Tarek M. Taha (CVIP (1), 2016)

Real Time Automated Machinery Threat Detection and Identification System for Pipeline Infrastructure Protection. - Almabrok Essa; Paheding Sidike; Vijayan K. Asari (IMAWM, 2016)

Automatic building change detection through adaptive local textural features and sequential background removal. - Paheding Sidike; Daniel Prince; Almabrok E. Essa; Vijayan K. Asari (IGARSS, 2016)

Classification of hyperspectral image using multiscale spatial texture features. - Paheding Sidike; Chen Chen 001; Vijayan K. Asari; Yan Xu 003; Wei Li 032 (WHISPERS, 2016)

Multiclass Object Detection With Single Query in Hyperspectral Imagery Using Class-Associative Spectral Fringe-Adjusted Joint Transform Correlation. - Paheding Sidike; Vijayan K. Asari; Mohammad S. Alam (IEEE Trans. Geosci. Remote. Sens., 2016)

Handwritten Bangla Digit Recognition Using Deep Learning. - Md. Zahangir Alom; Paheding Sidike; Tarek M. Taha; Vijayan K. Asari (CoRR, 2017)

Volumetric Directional Pattern for Spatial Feature Extraction in Hyperspectral Imagery. - Almabrok E. Essa; Paheding Sidike; Vijayan K. Asari (IEEE Geosci. Remote. Sens. Lett., 2017)

State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach. - Md. Zahangir Alom; Paheding Sidike; Tarek M. Taha; Vijayan K. Asari (Neural Process. Lett., 2017)

A fast single-image super-resolution via directional edge-guided regularized extreme learning regression. - Paheding Sidike; Evan Krieger; Md. Zahangir Alom; Vijayan K. Asari; Tarek M. Taha (Signal Image Video Process., 2017)

TERRA-REF Data Processing Infrastructure. - Maxwell Burnette; Rob Kooper; J. D. Maloney; Gareth S. Rohde; Jeffrey A. Terstriep; Craig Willis; Noah Fahlgren; Todd C. Mockler; Maria Newcomb; Vasit Sagan; Pedro Andrade-Sanchez; Nadia Shakoor; et al. (PEARC, 2018)

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks. - Md. Zahangir Alom; Paheding Sidike; Mahmudul Hasan 003; Tarek M. Taha; Vijayan K. Asari (Comput. Intell. Neurosci., 2018)

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches. - Md. Zahangir Alom; Tarek M. Taha; Christopher Yakopcic; Stefan Westberg; Paheding Sidike; Mst Shamima Nasrin; Brian C. Van Essen; Abdul A. S. Awwal; Vijayan K. Asari (CoRR, 2018)

Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery. - Paheding Sidike; Vasit Sagan; Maher B. Qumsiyeh; Maitiniyazi Maimaitijiang; Almabrok E. Essa; Vijayan K. Asari (IEEE Geosci. Remote. Sens. Lett., 2018)

Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine. - Kyle T. Peterson; Vasit Sagan; Paheding Sidike; Amanda L. Cox; Megan Martinez (Remote. Sens., 2018)

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture. - Ebrahim Babaeian; Paheding Sidike; Maria Newcomb; Maitiniyazi Maimaitijiang; Scott A. White; Jeffrey Demieville; Richard W. Ward; Morteza Sadeghi; David S. LeBauer; Scott B. Jones; Vasit Sagan; Markus Tuller (Frontiers Big Data, 2019)

Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality. - Matthew Maimaitiyiming; Vasit Sagan; Paheding Sidike; Misha T. Kwasniewski (Remote. Sens., 2019)

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras. - Vasit Sagan; Maitiniyazi Maimaitijiang; Paheding Sidike; Kevin Eblimit; Kyle T. Peterson; Sean Hartling; Flavio Esposito; Kapil Khanal; Maria Newcomb; Duke Pauli; Rick Ward; Felix B. Fritschi; et al. (Remote. Sens., 2019)

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning. - Sean Hartling; Vasit Sagan; Paheding Sidike; Maitiniyazi Maimaitijiang; Joshua Carron (Sensors, 2019)

Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR). - Matthew Maimaitiyiming; Maitiniyazi Maimaitijiang; Paheding Sidike; Vasit Sagan; Zoë Migicovsky; Daniel H. Chitwood; Peter Cousins; Nick Dokoozlian; Allison J. Miller; Misha T. Kwasniewski (IGARSS, 2020)

U-Net and its variants for medical image segmentation: theory and applications. - Nahian Siddique; Paheding Sidike; Colin Elkin; Vijay Kumar Devabhaktuni (CoRR, 2020)

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. - Maitiniyazi Maimaitijiang; Vasit Sagan; Paheding Sidike; Ahmad M. Daloye; Hasanjan Erkbol; Felix B. Fritschi (Remote. Sens., 2020)

Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology. - Matthew Maimaitiyiming; Vasit Sagan; Paheding Sidike; Maitiniyazi Maimaitijiang; Allison J. Miller; Misha T. Kwasniewski (Remote. Sens., 2020)

Trends in Deep Learning for Medical Hyperspectral Image Analysis. - Uzair Khan; Paheding Sidike; Colin P. Elkin; Vijaya Kumar Devabhaktuni (IEEE Access, 2021)

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. - Nahian Siddique; Paheding Sidike; Colin P. Elkin; Vijay Kumar Devabhaktuni (IEEE Access, 2021)

Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. - Shengli Jiang; Zhuo Xu; Medhavi Kamran; Stas Zinchik; Paheding Sidike; Armando G. McDonald; Ezra Bar-Ziv; Victor M. Zavala (Comput. Chem. Eng., 2021)

Binary chemical reaction optimization based feature selection techniques for machine learning classification problems. - P. C. Srinivasa Rao; A. J. Sravan Kumar; Quamar Niyaz; Paheding Sidike; Vijay K. Devabhaktuni (Expert Syst. Appl., 2021)

GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. - Paheding Sidike; Abel A. Reyes; Anush Kasaragod; Thomas Oommen (CVPR Workshops, 2022)

A Secure Software Engineering Design Framework for Educational Purpose. - Abel A. Reyes Angulo; Xiaoli Yang; Quamar Niyaz; Paheding Sidike; Ahmad Y. Javaid (EIT, 2022)

Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation. - Abel A. Reyes; Paheding Sidike; Makarand Deo; Michel A. Audette (MMMI@MICCAI, 2022)

Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning. - Yuchen Li 005; Jered Pawlak; Joshua Price; Khair Al Shamaileh; Quamar Niyaz; Paheding Sidike; Vijay K. Devabhaktuni (IEEE Access, 2022)

Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges. - Jeevan S. Devagiri; Paheding Sidike; Quamar Niyaz; Xiaoli Yang; Samantha L. Smith (Expert Syst. Appl., 2022)

Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. - Vasit Sagan; Maitiniyazi Maimaitijiang; Paheding Sidike; Sourav Bhadra; Nichole Gosselin; Maxwell Burnette; Jeffrey Demieville; Sean Hartling; David S. LeBauer; Maria Newcomb; Duke Pauli; Kyle T. Peterson; et al. (IEEE Trans. Geosci. Remote. Sens., 2022)

C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery. - Abel A. Reyes; Sidike Paheding; A. Rajaneesh; K. S. Sajinkumar; Thomas Oommen (CVPR Workshops, 2023)

Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data. - Shahid Nawaz Khan; Maitiniyazi Maimaitijiang; Bruce Millett; Sidike Paheding; Dapeng Li 002; Melanie Caffé; Péter Kovács (IGARSS, 2023)

Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data. - Maitiniyazi Maimaitijiang; Bruce Millett; Sidike Paheding; Shahid Nawaz Khan; Kamila Dilmurat; Abel A. Reyes; Péter Kovács (IGARSS, 2023)

A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset. - Ashraf Saleem; Sidike Paheding; Nathir A. Rawashdeh; Ali Awad; Navjot Kaur (IEEE Access, 2023)

Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. - Sidike Paheding; Abel A. Reyes Angulo (CoRR, 2023)

The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. - Abel A. Reyes Angulo; Sidike Paheding (CoRR, 2023)

What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments. - Muraleekrishna Gopinathan; Jumana Abu-Khalaf; David Suter; Sidike Paheding; Nathir A. Rawashdeh (CoRR, 2023)

Forward-Forward Algorithm for Hyperspectral Image Classification. - Abel A. Reyes Angulo; Sidike Paheding (CVPR Workshops, 2024)

An Interactive Visualization Tool for Computer Organization and Design Course. - Mateo Garcia; Quamar Niyaz; Xiaoli Yang; Ahmad Y. Javaid; Sidike Paheding (EIT, 2024)

MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset. - Sidike Paheding; Abel A. Reyes; A. Rajaneesh; K. S. Sajinkumar; Thomas Oommen (WACV, 2024)

Cross-View Geo-Localization: A Survey. - Abhilash Durgam; Sidike Paheding; Vikas Dhiman; Vijay Kumar Devabhaktuni (IEEE Access, 2024)

Evaluating the Impact of Underwater Image Enhancement on Object Detection Performance: A Comprehensive Study. - Ali Awad; Ashraf Saleem; Sidike Paheding; Evan Lucas; Serein Al Ratrout; Timothy C. Havens (CoRR, 2024)

Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond. - Sidike Paheding; Ashraf Saleem; Mohammad Faridul Haque Siddiqui; Nathir A. Rawashdeh; Almabrok Essa; Abel A. Reyes (Neural Comput. Appl., 2024)

NExNet Seg: Neuron Expansion Network for Medical Image Segmentation. - Abel A. Reyes Angulo; Sidike Paheding (CVPR Workshops, 2025)

Underwater Image Enhancement and Object Detection: Are Poor Object Detection Results On Enhanced Images Due to Missing Human Labels? - Evan Lucas; Ali Awad; Anthony Geglio; Ashraf Saleem; Shadi Moradi; Timothy C. Havens; Angus Galloway; Sidike Paheding (WACV (Workshops), 2025)

Forecasting Volcanic Radiative Power (VPR) at Fuego Volcano Using Bayesian Regularized Neural Network. - Snehamoy Chatterjee; Greg Waite; Sidike Paheding; Luke Bowman (CoRR, 2025)