Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Martín-Isla, Carlos; Campello, Víctor M.; Izquierdo, Cristian; Kushibar, Kaisar; Sendra-Balcells, Carla; Gkontra, Polyxeni; Sojoudi, Alireza; Fulton, Mitchell J.; Arega, Tewodros Weldebirhan; Punithakumar, Kumaradevan; Li, Lei; Sun, Xiaowu; et al. (IEEE J. Biomed. Health Informatics, 2023)

Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models. - Rybchuk, Alex; Hassanaly, Malik; Hamilton, Nicholas; Doubrawa, Paula; Fulton, Mitchell J.; Martínez-Tossas, Luis A. (CoRR, 2023)

Enabling Autonomous Colonoscopy Intervention Using a Robotic Endoscope Platform. - Zhang, Qi; Prendergast, Joseph Micah; Formosa, Gregory A.; Fulton, Mitchell J.; Rentschler, Mark E. (IEEE Trans. Biomed. Eng., 2021)

A Real-Time State Dependent Region Estimator for Autonomous Endoscope Navigation. - Prendergast, Joseph Micah; Formosa, Gregory A.; Fulton, Mitchell J.; Heckman, Christoffer R.; Rentschler, Mark E. (IEEE Trans. Robotics, 2021)

Deformable Bayesian Convolutional Networks for Disease-Robust Cardiac MRI Segmentation. - Fulton, Mitchell J.; Heckman, Christoffer R.; Rentschler, Mark E. (2021)

Comparing Visual Odometry Systems in Actively Deforming Simulated Colon Environments. - Fulton, Mitchell J.; Prendergast, Joseph Micah; DiTommaso, Emily R.; Rentschler, Mark E. (2020)

Don't get burned: thermal monitoring of vessel sealing using a miniature infrared camera. - Lin, Shan; Fichera, Loris; Fulton, Mitchell J.; Webster, Robert J., III (2017)