Robert DiPietro
Robert DiPietro
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Cited by
Recognizing surgical activities with recurrent neural networks
R DiPietro, C Lea, A Malpani, N Ahmidi, SS Vedula, GI Lee, MR Lee, ...
International conference on medical image computing and computer-assisted …, 2016
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
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
C Rupprecht, I Laina, R DiPietro, M Baust, F Tombari, GD Hager, N Navab
arXiv preprint arXiv:1612.00197, 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
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), 222506, 2010
Large low field magnetoresistance in nanowire devices
B Jugdersuren, S Kang, RS DiPietro, D Heiman, D McKeown, IL Pegg, ...
Journal of Applied Physics 109 (1), 016109, 2011
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
Hyperspectral matched filter with false-alarm mitigation
RS DiPietro, D Manolakis, RB Lockwood, T Cooley, J Jacobson
Optical Engineering 51 (1), 016202, 2012
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
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
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
R DiPietro, C Rupprecht, N Navab, GD Hager
arXiv preprint arXiv:1702.07805, 2017
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
Revisiting NARX recurrent neural networks for long-term dependencies
R DiPietro, N Navab, GD Hager
CoRR, 2017
False-alarm characterization in hyperspectral gas-detection applications
RS DiPietro, E Truslow, DG Manolakis, SE Golowich, RB Lockwood
Imaging Spectrometry XVII 8515, 85150I, 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), 104503, 2010
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
Growth and Characterization of Mn5SiC nanowires
S Kang, GA Brewer, J Battogtokh, RS DiPietro, D Heiman, AC Buechele, ...
Nanoscience and Nanotechnology Letters 1 (2), 77-81, 2009
Efficient implementations of hyperspectral chemical-detection algorithms
CJC Brett, RS DiPietro, DG Manolakis, VK Ingle
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII …, 2013
Deep learning: RNNs and LSTM
R DiPietro, GD Hager
Handbook of Medical Image Computing and Computer Assisted Intervention, 503-519, 2020
Automated surgical activity recognition with one labeled sequence
R DiPietro, GD Hager
International Conference on Medical Image Computing and Computer-Assisted …, 2019
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