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Effectiveness of deep learning in early‐stage oral cancer detections and classification using histogram of oriented gradients
Dutta, Chiranjit, Sandhya, Prasad, Vidhya, Kandasamy, Rajalakshmi, Ramanathan, Ramya, Devasahayam, Madhubabu, Kotakonda
Published in Expert systems (01.06.2024)
Published in Expert systems (01.06.2024)
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Journal Article
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity
Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)
Published in PloS one (22.09.2020)
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Journal Article
Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST)
Stemmer, Amos, Shadmi, Ran, Bregman-Amitai, Orna, Chettrit, David, Blagev, Denitza, Orlovsky, Mila, Deutsch, Lisa, Elnekave, Eldad
Published in PloS one (03.08.2020)
Published in PloS one (03.08.2020)
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Journal Article
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Ehteshami Bejnordi, Babak, Veta, Mitko, Johannes van Diest, Paul, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M, Hermsen, Meyke, Manson, Quirine F, Balkenhol, Maschenka, Geessink, Oscar, Stathonikos, Nikolaos, van Dijk, Marcory CRF, Bult, Peter, Beca, Francisco, Beck, Andrew H, Wang, Dayong, Khosla, Aditya, Gargeya, Rishab, Irshad, Humayun, Zhong, Aoxiao, Dou, Qi, Li, Quanzheng, Chen, Hao, Lin, Huang-Jing, Heng, Pheng-Ann, Haß, Christian, Bruni, Elia, Wong, Quincy, Halici, Ugur, Öner, Mustafa Ümit, Cetin-Atalay, Rengul, Berseth, Matt, Khvatkov, Vitali, Vylegzhanin, Alexei, Kraus, Oren, Shaban, Muhammad, Rajpoot, Nasir, Awan, Ruqayya, Sirinukunwattana, Korsuk, Qaiser, Talha, Tsang, Yee-Wah, Tellez, David, Annuscheit, Jonas, Hufnagl, Peter, Valkonen, Mira, Kartasalo, Kimmo, Latonen, Leena, Ruusuvuori, Pekka, Liimatainen, Kaisa, Albarqouni, Shadi, Mungal, Bharti, George, Ami, Demirci, Stefanie, Navab, Nassir, Watanabe, Seiryo, Seno, Shigeto, Takenaka, Yoichi, Matsuda, Hideo, Ahmady Phoulady, Hady, Kovalev, Vassili, Kalinovsky, Alexander, Liauchuk, Vitali, Bueno, Gloria, Fernandez-Carrobles, M. Milagro, Serrano, Ismael, Deniz, Oscar, Racoceanu, Daniel, Venâncio, Rui
Published in JAMA : the journal of the American Medical Association (12.12.2017)
Published in JAMA : the journal of the American Medical Association (12.12.2017)
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Journal Article
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
Bizzego, Andrea, Bussola, Nicole, Chierici, Marco, Maggio, Valerio, Francescatto, Margherita, Cima, Luca, Cristoforetti, Marco, Jurman, Giuseppe, Furlanello, Cesare
Published in PLoS computational biology (01.03.2019)
Published in PLoS computational biology (01.03.2019)
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Journal Article
Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas
van IJzendoorn, David G. P., Szuhai, Karoly, Briaire-de Bruijn, Inge H., Kostine, Marie, Kuijjer, Marieke L., Bovée, Judith V. M. G.
Published in PLoS computational biology (01.02.2019)
Published in PLoS computational biology (01.02.2019)
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Journal Article
Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening
Li, Tao, Gao, Yingqi, Wang, Kai, Guo, Song, Liu, Hanruo, Kang, Hong
Published in Information sciences (01.10.2019)
Published in Information sciences (01.10.2019)
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Journal Article
Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls
Jakobsen, Petter, Garcia-Ceja, Enrique, Riegler, Michael, Stabell, Lena Antonsen, Nordgreen, Tine, Torresen, Jim, Fasmer, Ole Bernt, Oedegaard, Ketil Joachim
Published in PloS one (24.08.2020)
Published in PloS one (24.08.2020)
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Journal Article
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L., Zhu, Kaylie, Yang, Brandon, Mehta, Hershel, Duan, Tony, Ding, Daisy, Bagul, Aarti, Langlotz, Curtis P., Patel, Bhavik N., Yeom, Kristen W., Shpanskaya, Katie, Blankenberg, Francis G., Seekins, Jayne, Amrhein, Timothy J., Mong, David A., Halabi, Safwan S., Zucker, Evan J., Ng, Andrew Y., Lungren, Matthew P.
Published in PLoS medicine (20.11.2018)
Published in PLoS medicine (20.11.2018)
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Journal Article
Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
MacCormick, Ian J. C., Williams, Bryan M., Zheng, Yalin, Li, Kun, Al-Bander, Baidaa, Czanner, Silvester, Cheeseman, Rob, Willoughby, Colin E., Brown, Emery N., Spaeth, George L., Czanner, Gabriela
Published in PloS one (10.01.2019)
Published in PloS one (10.01.2019)
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Journal Article
Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy
Mellors, Ben O. L., Spear, Abigail M., Howle, Christopher R., Curtis, Kelly, Macildowie, Sara, Dehghani, Hamid
Published in PloS one (15.09.2020)
Published in PloS one (15.09.2020)
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Journal Article
Automatically tracking neurons in a moving and deforming brain
Nguyen, Jeffrey P., Linder, Ashley N., Plummer, George S., Shaevitz, Joshua W., Leifer, Andrew M.
Published in PLoS computational biology (01.05.2017)
Published in PLoS computational biology (01.05.2017)
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Journal Article
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
Carass, Aaron, Cuzzocreo, Jennifer L., Han, Shuo, Hernandez-Castillo, Carlos R., Rasser, Paul E., Ganz, Melanie, Beliveau, Vincent, Dolz, Jose, Ben Ayed, Ismail, Desrosiers, Christian, Thyreau, Benjamin, Romero, José E., Coupé, Pierrick, Manjón, José V., Fonov, Vladimir S., Collins, D. Louis, Ying, Sarah H., Onyike, Chiadi U., Crocetti, Deana, Landman, Bennett A., Mostofsky, Stewart H., Thompson, Paul M., Prince, Jerry L.
Published in NeuroImage (Orlando, Fla.) (01.12.2018)
Published in NeuroImage (Orlando, Fla.) (01.12.2018)
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Journal Article