Results 171 to 180 of about 52,284 (313)

Sim-to-real domain adaptation based completion level recognition for autonomous micro-drilling in biomedical application. [PDF]

Sci Rep
Zhao E, Perez SAH, Harada K.
europepmc   +1 more source

Convolution Neural Networks by Image Net

International Journal of Emerging Trends in Science and Technology, 2017
openaire   +1 more source

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
ABSTRACT The blood‐brain barrier (BBB) renders the delivery of nanomedicine in the brain ineffective and the detection of circulating disease‐related DNA from the brain unreliable. Here, we demonstrate that microbubble‐enhanced focused ultrasound (MB‐FUS) mediated BBB opening, supported by large‐data models predict sonication regimens for safe and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

Automated detection of wrist ganglia in MRI using convolutional neural networks. [PDF]

BMC Musculoskelet Disord
Hämäläinen M, Sormaala M, Kaseva T, Salli E, Savolainen S, Kangasniemi M.   +5 more
europepmc   +1 more source

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field [PDF]

R Pearce-Casey, B.C Nagam, J. Wilde, Valerio Busillo, L. Ulivi, I.T Andika, A Manjón-García, Laura Leuzzi, Predrag Matavulj, S. Serjeant, Mike Walmsley, J.A. Acevedo Barroso, Colm O’Riordan, Benjamin Clément, C. Tortora, T.E Collett, F. Courbin, R. Gavazzi, R. B. Metcalf, R. Cabanac, H.M Courtois, J Crook-Mansour, L. Delchambre, Giulia Despali, L.R Ecker, A Franco, Paul H. Holloway, K. Jahnkę, Guillaume Mahler, L. Marchetti, Andréia Cristina de Melo, M. Meneghetti, Oliver Müller, Achille Nucita, J. C. Pearson, K. Rojas, Claudia Scarlata, S. Schuldt, Dominique Sluse, S. H. Suyu, M. Vaccari, Simona Vegetti, A. Verma, G. Vernardos, M. Bolzonella, Matthias Kluge, T. Saifollahi, M Schirmer, Christopher Stone, Ana Paulino-Afonso, L. Bazzanini, Natalie B Hogg, L. V. E. Koopmans, Sandor Kruk, F. Mannucci, J. Bromley, A. Díaz‐Sánchez, L. Fortson, D.M Powell, H. Bouy, R. Laureijs, B. Altieri, A. Amara, S Andreon, C. Baccigalupi, M Baldi, A. Balestra, S. Bardelli, S Bardelli, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, A. Caillat, S. Camera, V. Capobianco, C. Carbone, J. Carretero, Santiago Casas, M. Castellano, G Castignani, S. Cavuoti, A. Cimatti, C Colodro-Conde, G. Congedo, Christopher J. Conselice, L Conversi, Y. Copin, M. Cropper, A. Da Silva, H. Degaudenzi, G. De Lucia, A. M. Di Giorgio, J. Dinis, F. Dubath, X Dupac, S Dusini, M. Farina, S. Farrens, F Faustini   +99 more
openalex   +1 more source

Efficient Training of Convolutional Neural Nets on Large Distributed\n Systems [PDF]

, 2017
Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma   +4 more
openalex   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

The principles behind equivariant neural networks for physics and chemistry. [PDF]

Proc Natl Acad Sci U S A
Kondor R.
europepmc   +1 more source

Modulus Matching and Interface Enhancement: A Synergistic Strategy for Antidelamination High‐Performance Stretchable Triboelectric Nanogenerator

Advanced Science, EarlyView.
A bioinspired TENG features a homologously paired interface with matched modulus. Ultrasonic cavitation enhances its toughness to 190 N m−1 (3.2× higher), preventing delamination under 400% strain. Abstract With the growing demand for flexible self‐powered energy sources for wearable bioelectronics, triboelectric nanogenerator (TENG) have emerged as a ...
Shiwei Xu, Pengfan Wu, Feng Qin, Endian Cui, Zhongyong Mo, Hengyu Guo, Xiaojing Mu, Hua Yu   +7 more
wiley   +1 more source

Few-shot learning for the classification of colorectal neuroendocrine tumors and polyps on endoscopic images. [PDF]

J Int Med Res
Zhu S, Ge H, Wang Y, Lin J, Zhang R, Yin M, Zhu J, Chao C.   +7 more
europepmc   +1 more source