Robert DiPietro
Robert DiPietro
Verified email at - Homepage
Cited by
Cited by
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, ...
International conference on medical image computing and computer-assisted …, 2016
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
Hyperspectral matched filter with false-alarm mitigation
RS DiPietro, D Manolakis, RB Lockwood, T Cooley, J Jacobson
Optical Engineering 51 (1), 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
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
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
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
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
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
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
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
The detection of sub–pixel objects and mitigation of false alarms in hyperspectral imagery
RS DiPietro
Northeastern University, 2010
The system can't perform the operation now. Try again later.
Articles 1–20