Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches. - Dimitris Manolakis 001; Steven E. Golowich; Robert S. DiPietro (IEEE Signal Process. Mag., 2014)

Recognizing Surgical Activities with Recurrent Neural Networks. - Robert S. DiPietro; Colin Lea; Anand Malpani; Narges Ahmidi; S. Swaroop Vedula; Gyusung I. Lee; Mija R. Lee; Gregory D. Hager (MICCAI (1), 2016)

Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization. - Huseyin Coskun; Felix Achilles; Robert S. DiPietro; Nassir Navab; Federico Tombari (ICCV, 2017)

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. - Christian Rupprecht 001; Iro Laina; Robert S. DiPietro; Maximilian Baust (ICCV, 2017)

Revisiting NARX Recurrent Neural Networks for Long-Term Dependencies. - Robert S. DiPietro; Nassir Navab; Gregory D. Hager (CoRR, 2017)

Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies. - Robert S. DiPietro; Christian Rupprecht 001; Nassir Navab; Gregory D. Hager (ICLR (Workshop), 2018)

Unsupervised Learning for Surgical Motion by Learning to Predict the Future. - Robert S. DiPietro; Gregory D. Hager (MICCAI (4), 2018)

Automated Surgical Activity Recognition with One Labeled Sequence. - Robert S. DiPietro; Gregory D. Hager (MICCAI (5), 2019)

Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks. - Robert S. DiPietro; Narges Ahmidi; Anand Malpani; Madeleine Waldram; Gyusung I. Lee; Mija R. Lee; S. Swaroop Vedula; Gregory D. Hager (Int. J. Comput. Assist. Radiol. Surg., 2019)