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ORCIDRobert S. DiPietro
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- affiliation: Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
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Journal Articles
- 2019
[j2]Robert S. DiPietro, Narges Ahmidi, Anand Malpani, Madeleine Waldram, Gyusung I. Lee, Mija R. Lee, S. Swaroop Vedula, Gregory D. Hager:
Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(11): 2005-2020 (2019)- 2014
- [j1]Dimitris Manolakis, Steven E. Golowich, Robert S. DiPietro:
Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches. IEEE Signal Process. Mag. 31(4): 120-141 (2014)
Conference and Workshop Papers
- 2019
- [c6]Robert S. DiPietro, Gregory D. Hager:
Automated Surgical Activity Recognition with One Labeled Sequence. MICCAI (5) 2019: 458-466 - 2018
- [c5]Robert S. DiPietro, Christian Rupprecht, Nassir Navab, Gregory D. Hager:
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies. ICLR (Workshop) 2018 - [c4]Robert S. DiPietro, Gregory D. Hager:
Unsupervised Learning for Surgical Motion by Learning to Predict the Future. MICCAI (4) 2018: 281-288 - 2017
- [c3]Christian Rupprecht, Iro Laina, Robert S. DiPietro, Maximilian Baust:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. ICCV 2017: 3611-3620 - [c2]Huseyin Coskun, Felix Achilles, Robert S. DiPietro, Nassir Navab, Federico Tombari:
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization. ICCV 2017: 5525-5533 - 2016
- [c1]Robert S. DiPietro, Colin Lea, Anand Malpani
, Narges Ahmidi, S. Swaroop Vedula, Gyusung I. Lee, Mija R. Lee, Gregory D. Hager:
Recognizing Surgical Activities with Recurrent Neural Networks. MICCAI (1) 2016: 551-558
Informal and Other Publications
- 2019
- [i5]Robert S. DiPietro, Gregory D. Hager:
Automated Surgical Activity Recognition with One Labeled Sequence. CoRR abs/1907.08825 (2019) - 2018
- [i4]Robert S. DiPietro, Gregory D. Hager:
Unsupervised Learning for Surgical Motion by Learning to Predict the Future. CoRR abs/1806.03318 (2018) - 2017
- [i3]Robert S. DiPietro, Nassir Navab, Gregory D. Hager:
Revisiting NARX Recurrent Neural Networks for Long-Term Dependencies. CoRR abs/1702.07805 (2017) - [i2]Huseyin Coskun, Felix Achilles, Robert S. DiPietro, Nassir Navab, Federico Tombari:
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization. CoRR abs/1708.01885 (2017) - 2016
- [i1]Robert S. DiPietro, Colin Lea, Anand Malpani, Narges Ahmidi, S. Swaroop Vedula, Gyusung I. Lee, Mija R. Lee, Gregory D. Hager:
Recognizing Surgical Activities with Recurrent Neural Networks. CoRR abs/1606.06329 (2016)
Coauthor Index
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