Analytic Regularization of Uniform Cubic B-spline Deformation Fields. - James A. Shackleford; Qi Yang; Ana M. Lourenço; Nadya Shusharina; Nagarajan Kandasamy; Gregory C. Sharp (MICCAI (2), 2012)

B-Spline Registration of Neuroimaging Modalites with Map-Reduce Framework. - Pingge Jiang; James A. Shackleford (BIH, 2015)

An octree based approach to multi-grid B-spline registration. - Pingge Jiang; James A. Shackleford (Image Processing, 2017)

CNN Driven Sparse Multi-Level B-Spline Image Registration. - Pingge Jiang; James A. Shackleford (CVPR, 2018)

Organ localization and identification in thoracic CT volumes using 3D CNNs leveraging spatial anatomic relations. - Rajath Elias Soans; James A. Shackleford (Image Processing, 2018)

A Video Camera Model Identification System Using Deep Learning and Fusion. - Brian C. Hosler; Owen Mayer; Belhassen Bayar; Xinwei Zhao; Chen Chen 059; James A. Shackleford; Matthew Christopher Stamm (ICASSP, 2019)

The Video Authentication and Camera Identification Database: A New Database for Video Forensics. - Brian C. Hosler; Xinwei Zhao; Owen Mayer; Chen Chen 059; James A. Shackleford; Matthew C. Stamm (IEEE Access, 2019)

Compiling Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy; James A. Shackleford (LCTES, 2020)

A Generalized Framework for Analytic Regularization of Uniform Cubic B-spline Displacement Fields. - Keyur D. Shah; James A. Shackleford; Nagarajan Kandasamy; Gregory C. Sharp (CoRR, 2020)

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. - Adarsha Balaji; Shihao Song; Twisha Titirsha; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (ICONS, 2021)

Improving deformable image registration accuracy using a hybrid similarity metric for adaptive radiation therapy. - Keyur D. Shah; James A. Shackleford; Nagarajan Kandasamy; Gregory C. Sharp (Image Processing, 2021)

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. - Adarsha Balaji; Shihao Song; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (IEEE Embed. Syst. Lett., 2021)

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Harry Chong; Adarsha Balaji; Anup Das 001; James A. Shackleford; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

Video-ACID. - Brian C. Hosler; Owen Mayer; Xinwei Zhao; Chen Chen 059; James A. Shackleford; Matthew C. Stamm (IEEE DataPort, 2022)

Neuromorphic Computing for the Masses. - Shadi Matinizadeh; Arghavan Mohammadhassani; Noah Pacik-Nelson; Ioannis Polykretis; Krupa Tishbi; Suman Kumar; M. Lakshmi Varshika; Abhishek Kumar Mishra; Nagarajan Kandasamy; James A. Shackleford; Eric M. Gallo; Anup Das 001 (ICONS, 2024)

A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision. - Shadi Matinizadeh; Arghavan Mohammadhassani; Noah Pacik-Nelson; Ioannis Polykretis; Abhishek Kumar Mishra; James A. Shackleford; Nagarajan Kandasamy; Eric M. Gallo; Anup Das 001 (MWSCAS, 2024)

A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture. - Shadi Matinizadeh; Noah Pacik-Nelson; Ioannis Polykretis; Krupa Tishbi; Suman Kumar; M. Lakshmi Varshika; Arghavan Mohammadhassani; Abhishek Kumar Mishra; Nagarajan Kandasamy; James A. Shackleford; Eric M. Gallo; Anupam Das 001 (CoRR, 2024)

Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation. - Keyur D. Shah; James A. Shackleford; Nagarajan Kandasamy; Gregory C. Sharp (CoRR, 2024)