Zobrazeno 1 - 10
of 2 568
pro vyhledávání: '"Duhaime, A"'
Autor:
Jin, Mike, Duggan, Nicole M, Bashyakarla, Varoon, Mendicuti, Maria Alejandra Duran, Hallisey, Stephen, Bernier, Denie, Stegeman, Joseph, Duhaime, Erik, Kapur, Tina, Goldsmith, Andrew J
Accurate and scalable annotation of medical data is critical for the development of medical AI, but obtaining time for annotation from medical experts is challenging. Gamified crowdsourcing has demonstrated potential for obtaining highly accurate ann
Externí odkaz:
http://arxiv.org/abs/2312.10198
Autor:
Rodighiero, Dario, Derry, Lins, Duhaime, Douglas, Kruguer, Jordan, Mueller, Maximilian C., Pietsch, Christopher, Schnapp, Jeffrey T., Steward, Jeff
Publikováno v:
IDJ 27 (1): 21-34 (2022)
Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, intending to open up unexpected vistas on more than 200,000 objects usually inaccessible to visitors. Part of
Externí odkaz:
http://arxiv.org/abs/2308.09343
Autor:
Manashti, Javad, Pirnia, Pouyan, Manashty, Alireza, Ujan, Sahar, Toews, Matthew, Duhaime, François
This project aimed to determine the grain size distribution of granular materials from images using convolutional neural networks. The application of ConvNet and pretrained ConvNet models, including AlexNet, SqueezeNet, GoogLeNet, InceptionV3, DenseN
Externí odkaz:
http://arxiv.org/abs/2303.04269
This study aims to evaluate PSDNet, a series of convolutional neural networks (ConvNets) trained with photographs to predict the particle size distribution of granular materials. Nine traditional feature extraction methods and 15 pretrained ConvNets
Externí odkaz:
http://arxiv.org/abs/2303.04265
Autor:
Lucassen, Ruben T., Jafari, Mohammad H., Duggan, Nicole M., Jowkar, Nick, Mehrtash, Alireza, Fischetti, Chanel, Bernier, Denie, Prentice, Kira, Duhaime, Erik P., Jin, Mike, Abolmaesumi, Purang, Heslinga, Friso G., Veta, Mitko, Duran-Mendicuti, Maria A., Frisken, Sarah, Shyn, Paul B., Golby, Alexandra J., Boyer, Edward, Wells, William M., Goldsmith, Andrew J., Kapur, Tina
Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key findings associated with pulmonary congestion. Not only can the interpre
Externí odkaz:
http://arxiv.org/abs/2302.07844
Autor:
Romit J. Samanta, Anne-Cécile Chiollaz, Edward Needham, John K. Yue, Adel Helmy, Elisa R. Zanier, Kevin K.W. Wang, Firas Kobeissy, Jussi P. Posti, Charlotte Summers, Geoffrey T. Manley, Andrew IR. Maas, Olli Tenovuo, Jean-Charles Sanchez, David K. Menon, Neeraj Badjatia, Ramon Diaz-Arrastia, Ann-Christine Duhaime, V Ramana Feeser, Shankar Gopinath, Ramesh Grandhi, Ruchira J. Ha, Dirk Keene, Christopher Madden, Michael McCrea, Randall Merchant, Laura B. Ngwenya, Richard B. Rodgers, David Schnyer, Sabrina R. Taylor, Ross Zafonte, Cecilia Ackerlund, Krisztina Amrein, Nada Andelic, Lasse Andreassen, Audny Anke, Gérard Audibert, Philippe Azouvi, Maria Luisa Azzolini, Ronald Bartels, Ronny Beer, Bo-Michael Bellander, Habib Benali, Maurizio Berardino, Luigi Beretta, Erta Beqiri, Morten Blaabjerg, Stine Borgen Lund, Camilla Brorsson, Andras Buki, Manuel Cabeleira, Alessio Caccioppola, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Guillermo Carbayo Lozano, Marco Carbonara, Ana M. Castaño-León, Simona Cavallo, Giorgio Chevallard, Arturo Chieregato, Giuseppe Citerio, Hans Clusmann, Mark Steven Coburn, Jonathan Coles, Jamie D. Cooper, Marta Correia, Endre Czeiter, Marek Czosnyka, Claire Dahyot-Fizelier, Paul Dark, Véronique De Keyser, Vincent Degos, Francesco Della Corte, Hugo den Boogert, Bart Depreitere, Đula Đilvesi, Abhishek Dixit, Jens Dreier, Guy-Loup Dulière, Ari Ercole, Erzsébet Ezer, Martin Fabricius, Kelly Foks, Shirin Frisvold, Alex Furmanov, Damien Galanaud, Dashiell Gantner, Alexandre Ghuysen, Lelde Giga, Jagoš Golubović, Pedro A. Gomez, Benjamin Gravesteijn, Francesca Grossi, Deepak Gupta, Iain Haitsma, Raimund Helbok, Eirik Helseth, Jilske Huijben, Peter J. Hutchinson, Stefan Jankowski, Faye Johnson, Mladen Karan, Angelos G. Kolias, Daniel Kondziella, Evgenios Kornaropoulos, Lars-Owe Koskinen, Noémi Kovács, Ana Kowark, Alfonso Lagares, Steven Laureys, Fiona Lecky, Didier Ledoux, Roger Lightfoot, Hester Lingsma, Andrew I.R. Maas, Alex Manara, Hugues Maréchal, Costanza Martino, Julia Mattern, Catherine McMahon, David Menon, Tomas Menovsky, Benoit Misset, Visakh Muraleedharan, Lynnette Murray, Ancuta Negru, David Nelson, Virginia Newcombe, József Nyirádi, Fabrizio Ortolano, Jean-François Payen, Vincent Perlbarg, Paolo Persona, Wilco Peul, Anna Piippo-Karjalainen, Horia Ples, Inigo Pomposo, Louis Puybasset, Andreea Rădoi, Arminas Ragauskas, Rahul Raj, Jonathan Rhodes, Sophie Richter, Saulius Rocka, Cecilie Roe, Olav Roise, Jeffrey Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Juan Sahuquillo, Oliver Sakowitz, Renan Sanchez-Porras, Oddrun Sandrød, Kari Schirmer-Mikalsen, Rico Frederik Schou, Charlie Sewalt, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Ewout W. Steyerberg, Nino Stocchetti, Nina Sundström, Riikka Takala, Viktória Tamás, Tomas Tamosuitis, Matt Thomas, Dick Tibboel, Christos Tolias, Tony Trapani, Cristina Maria Tudora, Andreas Unterberg, Peter Vajkoczy, Egils Valeinis, Shirley Vallance, Zoltán Vámos, Gregory Van der Steen, Jeroen T.J.M. van Dijck, Thomas A. van Essen, Roel van Wijk, Alessia Vargiolu, Emmanuel Vega, Anne Vik, Rimantas Vilcinis, Victor Volovici, Peter Vulekovic, Eveline Wiegers, Guy Williams, Stefan Winzeck, Stefan Wolf, Alexander Younsi, Frederick A. Zeiler, Agate Ziverte, Tommaso Zoerle
Publikováno v:
EBioMedicine, Vol 108, Iss , Pp 105310- (2024)
Summary: Background: The inflammatory response in patients with traumatic brain injury (TBI) offers opportunities for stratification and intervention. Previous unselected approaches to immunomodulation in patients with TBI have not improved patient o
Externí odkaz:
https://doaj.org/article/901234563c104cc1be5c3a073a2be5fc
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-21 (2024)
Abstract A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individ
Externí odkaz:
https://doaj.org/article/8c4394b686e5459e9cd771d40b202598
Autor:
Hester F Lingsma, Ramesh Grandhi, Amy J Markowitz, Debbie Y Madhok, Geoffrey T Manley, Jason Barber, Xiaoying Sun, Michael A McCrea, Kevin K W Wang, Lindsay D Nelson, Pratik Mukherjee, Neeraj Badjatia, Ava M Puccio, David O Okonkwo, Patrick J Belton, Sonia Jain, Nancy R Temkin, Cathra Halabi, Richard B Rodgers, Andrea L C Schneider, Shawn R Eagle, Shankar Gopinath, Randall Merchant, Ross D Zafonte, Raquel C Gardner, John K Yue, Leila L Etemad, Mahmoud M Elguindy, Thomas A van Essen, Rick J G Vreeburg, Christine J Gotthardt, Joye X Tracey, Bukre C Coskun, Nishanth Krishnan, Frederick K Korley, Claudia S Robertson, Ann-Christine Duhaime, Gabriela G Satris, Phiroz E Tarapore, Michael C Huang, Joseph T Giacino, Esther L Yuh, Alex B Valadka, Anthony M DiGiorgio, Yelena G Bodien, Brian Fabian, Adam R Ferguson, Brandon Foreman, J Russell Huie, C Dirk Keene, Christine L MacDonald, Laura B Ngwenya, David M Schnyer, Sabrina R Taylor, Abel Torres-Espin, Mary J Vassar, Justin C Wong
Publikováno v:
Trauma Surgery & Acute Care Open, Vol 9, Iss 1 (2024)
Objectives An estimated 14–23% of patients with traumatic brain injury (TBI) incur multiple lifetime TBIs. The relationship between prior TBI and outcomes in patients with moderate to severe TBI (msTBI) is not well delineated. We examined the assoc
Externí odkaz:
https://doaj.org/article/0fcd955c9e874822bdd8f945c2ed146f
Autor:
James K. Sullivan, Haley Campbell, Caleb Dresser, Ann-Christine Duhaime, Marc Futernick, Ilyssa Gordon, Kimberly Humphrey, Eva Rawlings Parker, Lisa Patel, Emily Senay, Cecilia Sorensen, Marcalee Alexander
Publikováno v:
The Journal of Climate Change and Health, Vol 18, Iss , Pp 100316- (2024)
The global urgency to address the adverse effects of climate change on health, particularly within marginalized communities, necessitates concerted action from healthcare systems and professionals. Recognizing the critical role of health professional
Externí odkaz:
https://doaj.org/article/a1fef4450be24325b62a3d146764b585
Autor:
Nicole M Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A Selame, Ameneh Asgari-Targhi, Chanel E Fischetti, Ruben Lucassen, Anthony E Samir, Erik Duhaime, Tina Kapur, Andrew J Goldsmith
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e51397 (2024)
BackgroundMachine learning (ML) models can yield faster and more accurate medical diagnoses; however, developing ML models is limited by a lack of high-quality labeled training data. Crowdsourced labeling is a potential solution but can be constraine
Externí odkaz:
https://doaj.org/article/f65d391804b246618693357f9d91da2c