Results 161 to 170 of about 1,234,774 (270)

In Situ Characterisation of Hydrogels via Dynamic Interface Printing

Advanced Science, EarlyView.
ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler, Michael Halwes, David J. Collins   +2 more
wiley   +1 more source

Denoising: a powerful building block for imaging, inverse problems and machine learning. [PDF]

Philos Trans A Math Phys Eng Sci
Milanfar P, Delbracio M.
europepmc   +1 more source

Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems. [PDF]

Entropy (Basel), 2021
Mohammad-Djafari A.
europepmc   +1 more source

A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions

Advanced Science, EarlyView.
This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies, Emanuele Nicotra, Kefan Zhu, Chi Cong Nguyen, Bibhu Sharma, Adrienne Ji, Phuoc Thien Phan, Jingjing Wan, Patrick Pruscino, Hermione Truong, Jelena Rnjak‐Kovacina, Hoang‐Phuong Phan, Christopher Hayward, Nigel Hamilton Lovell, Thanh Nho Do   +14 more
wiley   +1 more source

Information-distilled physics informed deep learning for high order differential inverse problems with extreme discontinuities. [PDF]

Commun Eng
Peng M, Tang H.
europepmc   +1 more source

On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers. [PDF]

IEEE Trans Signal Process, 2023
Haldar JP.
europepmc   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

Inverse Fluid Convection Problems in Enclosures

Journal of Applied Mathematics, 2012
Fu-Yun Zhao, Di Liu, Steve H. L. Yim
doaj   +1 more source

Spot the bot: the inverse problems of NLP. [PDF]

PeerJ Comput Sci
Gromov VA, Dang QN, Kogan AS, Yerbolova A.   +3 more
europepmc   +1 more source

Equivariant neural networks for inverse problems. [PDF]

Inverse Probl, 2021
Celledoni E, Ehrhardt MJ, Etmann C, Owren B, Schönlieb CB, Sherry F.   +5 more
europepmc   +1 more source