Robert DiPietro
Robert DiPietro
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Zitiert von
Zitiert von
Deep learning: RNNs and LSTM
R DiPietro, GD Hager
Handbook of medical image computing and computer assisted intervention, 503-519, 2020
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
C Rupprecht, I Laina, R DiPietro, M Baust, F Tombari, GD Hager, N Navab
International Conference on Computer Vision, 2017
Long short-term memory kalman filters: Recurrent neural estimators for pose regularization
H Coskun, F Achilles, R DiPietro, N Navab, F Tombari
Proceedings of the IEEE International Conference on Computer Vision, 5524-5532, 2017
Recognizing surgical activities with recurrent neural networks
R DiPietro, C Lea, A Malpani, N Ahmidi, SS Vedula, GI Lee, MR Lee, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
Long-wave infrared hyperspectral remote sensing of chemical clouds: A focus on signal processing approaches
D Manolakis, S Golowich, RS DiPietro
IEEE Signal Processing Magazine 31 (4), 120-141, 2014
Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks
R DiPietro, N Ahmidi, A Malpani, M Waldram, GI Lee, MR Lee, SS Vedula, ...
International journal of computer assisted radiology and surgery 14 (11 …, 2019
Determining magnetic nanoparticle size distributions from thermomagnetic measurements
RS DiPietro, HG Johnson, SP Bennett, TJ Nummy, LH Lewis, D Heiman
Applied Physics Letters 96 (22), 2010
Hyperspectral matched filter with false-alarm mitigation
RS DiPietro, DG Manolakis, RB Lockwood, T Cooley, J Jacobson
Optical Engineering 51 (1), 016202-016202, 2012
Thermomagnetic determination of Fe3O4 magnetic nanoparticle diameters for biomedical applications
BD Plouffe, DK Nagesha, RS DiPietro, S Sridhar, D Heiman, SK Murthy, ...
Journal of magnetism and magnetic materials 323 (17), 2310-2317, 2011
Large low field magnetoresistance in La0. 67Sr0. 33MnO3 nanowire devices
B Jugdersuren, S Kang, RS DiPietro, D Heiman, D McKeown, I Pegg, ...
Journal of Applied Physics 109 (1), 2011
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
R DiPietro, C Rupprecht, N Navab, GD Hager
International Conference on Learning Representations, Workshop Track, 2018
Performance evaluation of hyperspectral detection algorithms for subpixel objects
RS DiPietro, D Manolakis, R Lockwood, T Cooley, J Jacobson
Algorithms and technologies for multispectral, hyperspectral, and …, 2010
Scene embedding for visual navigation
AK Brown, RS DiPietro
US Patent 10,902,616, 2021
Unsupervised learning for surgical motion by learning to predict the future
R DiPietro, GD Hager
International conference on medical image computing and computer-assisted …, 2018
Automated surgical activity recognition with one labeled sequence
R DiPietro, GD Hager
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Automated surgical-phase recognition using rapidly-deployable sensors
R DiPietro, R Stauder, E Kayis, A Schneider, M Kranzfelder, H Feussner, ...
Proc MICCAI Workshop M2CAI, 2015
Neural network training using robust temporal ensembling
AK Brown, RS DiPietro, BD Schifferer
US Patent App. 17/033,147, 2022
International conference on medical image computing and computer-assisted intervention
R DiPietro, C Lea, A Malpani, N Ahmidi, SS Vedula, GI Lee, MR Lee, ...
False-alarm characterization in hyperspectral gas-detection applications
RS DiPietro, E Truslow, DG Manolakis, SE Golowich, RB Lockwood
Imaging Spectrometry XVII 8515, 138-148, 2012
Magnetotransport properties of Mn–Si–C based nanostructures
S Kang, GA Brewer, B Jugdersuren, R DiPietro, D Heiman, AC Buechele, ...
Journal of Applied Physics 107 (10), 2010
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