Tristan Swedish
Tristan Swedish
MIT Media Lab
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Split learning for health: Distributed deep learning without sharing raw patient data
P Vepakomma, O Gupta, T Swedish, R Raskar
arXiv preprint arXiv:1812.00564, 2018
1862018
No peek: A survey of private distributed deep learning
P Vepakomma, T Swedish, R Raskar, O Gupta, A Dubey
arXiv preprint arXiv:1812.03288, 2018
412018
Learning gaze transitions from depth to improve video saliency estimation
G Leifman, D Rudoy, T Swedish, E Bayro-Corrochano, R Raskar
Proceedings of the IEEE International Conference on Computer Vision, 1698-1707, 2017
392017
Mobile phone based mini-spectrometer for rapid screening of skin cancer
A Das, T Swedish, A Wahi, M Moufarrej, M Noland, T Gurry, ...
Next-Generation Spectroscopic Technologies VIII, 2015
212015
Recent advances in imaging around corners
T Maeda, G Satat, T Swedish, L Sinha, R Raskar
arXiv preprint arXiv:1910.05613, 2019
192019
Data-driven non-line-of-sight imaging with a traditional camera
M Tancik, T Swedish, G Satat, R Raskar
Imaging Systems and Applications, IW2B. 6, 2018
162018
eyeSelfie: self directed eye alignment using reciprocal eye box imaging
T Swedish, K Roesch, IH Lee, K Rastogi, S Bernstein, R Raskar
ACM Transactions on Graphics 34 (4), 2015
152015
Will the clinicians support the researchers and teachers? Results of a salary satisfaction survey of 947 academic surgeons
JE Scarborough, KM Bennett, RA Schroeder, TB Swedish, DO Jacobs, ...
Annals of surgery 250 (3), 432-439, 2009
142009
Computational model of optical scattering by elastin in lung
TB Swedish, JP Robinson, MR Silva, A Gouldstone, D Kaeli, CA DiMarzio
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and …, 2011
132011
Deep visual teach and repeat on path networks
T Swedish, R Raskar
Proceedings of the IEEE conference on computer vision and pattern …, 2018
122018
Modeling and capturing the human body: for rendering, health and visualization
H Li, A Das, T Swedish, H Park, R Raskar
ACM SIGGRAPH 2015 Courses, 1-160, 2015
102015
Mechanical and optical dynamic model of lung
A Gouldstone, N Caner, TB Swedish, SM Kalkhoran, CA DiMarzio
IEEE transactions on biomedical engineering 58 (10), 3012-3015, 2011
102011
Leveraging the crowd for annotation of retinal images
G Leifman, T Swedish, K Roesch, R Raskar
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
82015
Data markets to support ai for all: Pricing, valuation and governance
R Raskar, P Vepakomma, T Swedish, A Sharan
arXiv preprint arXiv:1905.06462, 2019
62019
Automated retinal imaging and trend analysis–a tool for health monitoring
K Roesch, T Swedish, R Raskar
Clinical ophthalmology (Auckland, NZ) 11, 1015, 2017
62017
Expertmatcher: Automating ml model selection for users in resource constrained countries
V Sharma, P Vepakomma, T Swedish, K Chang, J Kalpathy-Cramer, ...
arXiv preprint arXiv:1910.02312, 2019
42019
Open-source, ultra-low-cost smartphone attachment for non-mydriatic fundus photography-open indirect ophthalmoscope
D Jain, T Swedish, B Shen, DY Kim, S Mukai, R Raskar
Investigative Ophthalmology & Visual Science 57 (12), 1685-1685, 2016
42016
Crowd-sourcing meets deep learning: A hybrid approach for retinal image annotation
K Roesch, G Leifman, T Swedish, D Joshi, V Gupta, J Chhablani, ...
Investigative Ophthalmology & Visual Science 57 (12), 5965-5965, 2016
32016
Seeing around corners using time of flight
R Raskar, A Velten, S Bauer, T Swedish
ACM SIGGRAPH 2020 Courses, 1-97, 2020
22020
Expertmatcher: Automating ml model selection for clients using hidden representations
V Sharma, P Vepakomma, T Swedish, K Chang, J Kalpathy-Cramer, ...
arXiv preprint arXiv:1910.03731, 2019
22019
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