A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images. - Fahmi Khalifa; Georgy L. Gimel'farb; Mohamed Abou El-Ghar; Guela Sokhadze; Samantha Manning; Patrick McClure; Rosemary Ouseph; Ayman El-Baz (ICIP, 2011)

3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function. - Fahmi Khalifa; Ahmed Elnakib; Garth M. Beache; Georgy L. Gimel'farb; Mohamed Abou El-Ghar; Rosemary Ouseph; Guela Sokhadze; Samantha Manning; Patrick McClure; Ayman El-Baz (MICCAI (3), 2011)

Visual Dictionary Learning for Joint Object Categorization and Segmentation. - Aastha Jain; Luca Zappella; Patrick McClure; René Vidal (ECCV (5), 2012)

Early assessment of malignant lung nodules based on the spatial analysis of detected lung nodules. - Ayman El-Baz; Ahmed Soliman 001; Patrick McClure; Georgy L. Gimel'farb; Mohamed Abou El-Ghar; Robert Falk (ISBI, 2012)

A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model. - Ayman El-Baz; Fahmi Khalifa; Ahmed Elnakib; Matthew Nitzken; Ahmed Soliman 001; Patrick McClure; Mohamed Abou El-Ghar; Georgy L. Gimel'farb (MICCAI (2), 2012)

Precise Segmentation of 3-D Magnetic Resonance Angiography. - Ayman El-Baz; Ahmed Elnakib; Fahmi Khalifa; Mohamed Abou El-Ghar; Patrick McClure; Ahmed Soliman 001; Georgy L. Gimel'farb (IEEE Trans. Biomed. Eng., 2012)

Representation of uncertainty in deep neural networks through sampling. - Patrick McClure; Nikolaus Kriegeskorte (CoRR, 2016)

Representational Distance Learning for Deep Neural Networks. - Patrick McClure; Nikolaus Kriegeskorte (Frontiers Comput. Neurosci., 2016)

Distributed Weight Consolidation: A Brain Segmentation Case Study. - Patrick McClure; Charles Y. Zheng; Jakub Kaczmarzyk; John Rogers-Lee; Satrajit S. Ghosh; Dylan Nielson; Peter A. Bandettini; Francisco Pereira 001 (NeurIPS, 2018)

Parallel Weight Consolidation: A Brain Segmentation Case Study. - Patrick McClure; Charles Y. Zheng; Francisco Pereira 001; Jakub Kaczmarzyk; John Rogers-Lee; Dylan Nielson; Peter A. Bandettini (CoRR, 2018)

Knowing what you know in brain segmentation using deep neural networks. - Patrick McClure; Nao Rho; John A. Lee; Jakub R. Kaczmarzyk; Charles Y. Zheng; Satrajit S. Ghosh; Dylan Nielson; Adam G. Thomas; Peter A. Bandettini; Francisco Pereira 001 (CoRR, 2018)

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. - Patrick McClure; Nao Rho; John A. Lee; Jakub R. Kaczmarzyk; Charles Y. Zheng; Satrajit S. Ghosh; Dylan Nielson; Adam G. Thomas; Peter A. Bandettini; Francisco Pereira 001 (Frontiers Neuroinformatics, 2019)

Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding. - Patrick McClure; Dustin Moraczewski; Ka Chun Lam; Adam G. Thomas; Francisco Pereira 001 (CoRR, 2020)

A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes. - Patrick McClure; Gabrielle Reimann; Michal Ramot; Francisco Pereira 001 (CoRR, 2020)

VICE: Variational Interpretable Concept Embeddings. - Lukas Muttenthaler; Charles Y. Zheng; Patrick McClure; Robert A. Vandermeulen; Martin N. Hebart; Francisco Pereira 001 (NeurIPS, 2022)

Concrete Safety for ML Problems: System Safety for ML Development and Assessment. - Edgar W. Jatho III; Logan O. Mailloux; Eugene D. Williams; Patrick McClure; Joshua A. Kroll (CoRR, 2023)

Anomaly Detection in Operational Technology Systems Using Non-Intrusive Load Monitoring Based on Supervised Learning. - A. Schroeder; Patrick McClure; Preetha Thulasiraman (CSR, 2024)

Bayesian Neural Networks for Wi-Fi Device Fingerprinting and New Device Detection. - David Justamante; Patrick McClure (EIT, 2024)

Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification. - Erick Capulong; Marko Orescanin; Pedro Ortiz; Patrick McClure (ICMLA, 2024)

Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models. - John Fischer; Marko Orescanin; Justin Loomis; Patrick McClure (IEEE Access, 2024)