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pro vyhledávání: '"Coffee, Megan"'
Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder with very high prevalence around the world. Research progress in the field of ASD facial analysis in pediatric patients has been hindered due to a lack of well-established basel
Externí odkaz:
http://arxiv.org/abs/2210.16943
Autor:
Sizikova, Elena, Vendrow, Joshua, Cao, Xu, Grotheer, Rachel, Haddock, Jamie, Kassab, Lara, Kryshchenko, Alona, Merkh, Thomas, Madushani, R. W. M. A., Moise, Kenny, Ulichney, Annie, Vo, Huy V., Wang, Chuntian, Coffee, Megan, Leonard, Kathryn, Needell, Deanna
Automatic infectious disease classification from images can facilitate needed medical diagnoses. Such an approach can identify diseases, like tuberculosis, which remain under-diagnosed due to resource constraints and also novel and emerging diseases,
Externí odkaz:
http://arxiv.org/abs/2209.02415
Chest computed tomography (CT) imaging adds valuable insight in the diagnosis and management of pulmonary infectious diseases, like tuberculosis (TB). However, due to the cost and resource limitations, only X-ray images may be available for initial d
Externí odkaz:
http://arxiv.org/abs/2208.10937
Autor:
Zicari, Roberto V., Amann, Julia, Bruneault, Frédérick, Coffee, Megan, Düdder, Boris, Hickman, Eleanore, Gallucci, Alessio, Gilbert, Thomas Krendl, Hagendorff, Thilo, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Kringen, Pedro, Madai, Vince I., Mathez, Emilie Wiinblad, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee
This report is a methodological reflection on Z-Inspection$^{\small{\circledR}}$. Z-Inspection$^{\small{\circledR}}$ is a holistic process used to evaluate the trustworthiness of AI-based technologies at different stages of the AI lifecycle. It focus
Externí odkaz:
http://arxiv.org/abs/2206.09887
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
The evaluation of infectious disease processes on radiologic images is an important and challenging task in medical image analysis. Pulmonary infections can often be best imaged and evaluated through computed tomography (CT) scans, which are often no
Externí odkaz:
http://arxiv.org/abs/2109.11480
Autor:
Ekins, Sean, Mottin, Melina, Ramos, Paulo R.P.S., Sousa, Bruna K.P., Neves, Bruno Junior, Foil, Daniel H., Zorn, Kimberley M., Braga, Rodolpho C., Coffee, Megan, Southan, Christopher, Puhl, Ana C., Andrade, Carolina Horta
Publikováno v:
In Drug Discovery Today May 2020 25(5):928-941
Akademický článek
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Autor:
Chitre, Smit D., Crews, Cecilia M., Tessema, Mesfin Teklu, Plėštytė-Būtienė, Indrė, Coffee, Megan, Richardson, Eugene T.
Publikováno v:
Pediatric Research; Jan2024, Vol. 95 Issue 2, p496-507, 12p
Autor:
Hegselmann, Stefan, Zhou, Helen, Yuyin Zhou, Chien, Jennifer, Sujay Nagaraj, Hulkund, Neha, Shreyas Bhave, Oberst, Michael, Amruta Pai, Ellington, Caleb, Wisdom Ikezogwo, Dou, Jason Xiaotian, Agrawal, Monica, Changye Li, Peniel Argaw, Biswas, Arpita, Mehak Gupta, Xinhui Li, Lemanczyk, Marta, Yuhui Zhang, Garbin, Christian, Healey, Elizabeth, Heejong Kim, Boone, Claire, Daneshjou, Roxana, Siyu Shi, Pezzotti, Nicola, Pfohl, Stephen R., Fong, Edwin, Aakanksha Naik, Lengerich, Ben, Xu, Ying, Bidwell, Jonathan, Sendak, Mark, Byung-Hak Kim, Hendrix, Nathaniel, Spathis, Dimitris, Seita, Jun, Quast, Bastiaan, Coffee, Megan, Stultz, Collin, Chen, Irene Y., Shalmali Joshi, Girmaw Abebe Tadesse
The second Machine Learning for Health (ML4H) symposium was held both virtually and in-person on November 28, 2022, in New Orleans, Louisiana, USA (Parziale et al.,2022). The symposium included research roundtable sessions to foster discussions betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::969fe62f3f872d1ab553c72494874f7a