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Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine
Nanmaran, R., Srimathi, S., Yamuna, G., Thanigaivel, S., Vickram, A. S., Priya, A. K., Karthick, Alagar, Karpagam, J., Mohanavel, V., Muhibbullah, M.
Published in Computational and mathematical methods in medicine (07.02.2022)
Published in Computational and mathematical methods in medicine (07.02.2022)
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Journal Article
Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images
Alrowais, Fadwa, Alqahtani, Mohammed, Khan, Jahangir, Miled, Achraf Ben, Albalawneh, Da’ad, Alkharashi, Abdulwhab, Al Zanin, Samah, Marzouk, Radwa
Published in Scientific reports (10.04.2025)
Published in Scientific reports (10.04.2025)
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Journal Article
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Steuer, Ashley, Fritzler, Jason, Boggan, SaraBeth, Daniel, Ian, Cowles, Bobby, Penn, Cory, Goldstein, Richard, Lin, Dan
Published in Parasites & vectors (12.11.2024)
Published in Parasites & vectors (12.11.2024)
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Journal Article
A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF
Schneider, Matthias, Bartko, Philipp, Geller, Welf, Dannenberg, Varius, König, Andreas, Binder, Christina, Goliasch, Georg, Hengstenberg, Christian, Binder, Thomas
Published in International journal of cardiac imaging (01.02.2021)
Published in International journal of cardiac imaging (01.02.2021)
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Journal Article
Evaluation of a Cascaded Deep Learning–based Algorithm for Prostate Lesion Detection at Biparametric MRI
Lin, Yue, Yilmaz, Enis C., Belue, Mason J., Harmon, Stephanie A., Tetreault, Jesse, Phelps, Tim E., Merriman, Katie M., Hazen, Lindsey, Garcia, Charisse, Yang, Dong, Xu, Ziyue, Lay, Nathan S., Toubaji, Antoun, Merino, Maria J., Xu, Daguang, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Turkbey, Baris
Published in Radiology (01.05.2024)
Published in Radiology (01.05.2024)
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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
AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation
Zou, Xuan, He, Weijie, Huang, Yu, Ouyang, Yi, Zhang, Zhen, Wu, Yu, Wu, Yongsheng, Feng, Lili, Wu, Sheng, Yang, Mengqi, Chen, Xuyan, Zheng, Yefeng, Jiang, Rui, Chen, Ting
Published in Journal of medical Internet research (23.08.2024)
Published in Journal of medical Internet research (23.08.2024)
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Journal Article
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives
Kaur, Simarjeet, Singla, Jimmy, Nkenyereye, Lewis, Jha, Sudan, Prashar, Deepak, Joshi, Gyanendra Prasad, El-Sappagh, Shaker, Islam, Md. Saiful, Islam, S. M. Riazul
Published in IEEE access (2020)
Published in IEEE access (2020)
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Journal Article
Application of Transfer Learning and Feature Fusion Algorithms to Improve the Identification and Prediction Efficiency of Premature Ovarian Failure
Zhang, Yuanyuan, Hou, Jing, Wang, Qiaoyun, Hou, Aiqin, Liu, Yanni
Published in Journal of healthcare engineering (27.03.2022)
Published in Journal of healthcare engineering (27.03.2022)
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Journal Article
Toward human-level concept learning: Pattern benchmarking for AI algorithms
Holzinger, Andreas, Saranti, Anna, Angerschmid, Alessa, Finzel, Bettina, Schmid, Ute, Mueller, Heimo
Published in Patterns (New York, N.Y.) (11.08.2023)
Published in Patterns (New York, N.Y.) (11.08.2023)
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Journal Article
Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy
Klang, Eyal, Barash, Yiftach, Margalit, Reuma Yehuda, Soffer, Shelly, Shimon, Orit, Albshesh, Ahmad, Ben-Horin, Shomron, Amitai, Marianne Michal, Eliakim, Rami, Kopylov, Uri
Published in Gastrointestinal endoscopy (01.03.2020)
Published in Gastrointestinal endoscopy (01.03.2020)
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Journal Article
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
Harmon, Stephanie A., Sanford, Thomas H., Xu, Sheng, Turkbey, Evrim B., Roth, Holger, Xu, Ziyue, Yang, Dong, Myronenko, Andriy, Anderson, Victoria, Amalou, Amel, Blain, Maxime, Kassin, Michael, Long, Dilara, Varble, Nicole, Walker, Stephanie M., Bagci, Ulas, Ierardi, Anna Maria, Stellato, Elvira, Plensich, Guido Giovanni, Franceschelli, Giuseppe, Girlando, Cristiano, Irmici, Giovanni, Labella, Dominic, Hammoud, Dima, Malayeri, Ashkan, Jones, Elizabeth, Summers, Ronald M., Choyke, Peter L., Xu, Daguang, Flores, Mona, Tamura, Kaku, Obinata, Hirofumi, Mori, Hitoshi, Patella, Francesca, Cariati, Maurizio, Carrafiello, Gianpaolo, An, Peng, Wood, Bradford J., Turkbey, Baris
Published in Nature communications (14.08.2020)
Published in Nature communications (14.08.2020)
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Journal Article
How artificial intelligence might disrupt diagnostics in hematology in the near future
Walter, Wencke, Haferlach, Claudia, Nadarajah, Niroshan, Schmidts, Ines, Kühn, Constanze, Kern, Wolfgang, Haferlach, Torsten
Published in Oncogene (24.06.2021)
Published in Oncogene (24.06.2021)
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Journal Article
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Zenk, Maximilian, Pati, Sarthak, Foley, Patrick, Zimmerer, David, Isensee, Fabian, Kassem, Hasan, Thakur, Siddhesh, Kushibar, Kaisar, Lekadir, Karim, Jiang, Meirui, Yang, Hongzheng, Paetzold, Johannes C., Pawar, Kamlesh, Chen, Zhaolin, Tuladhar, Anup, Souza, Raissa, Maurya, Akansh, Anand, Vikas Kumar, Ganesh, Chandan, Wagner, Ben, Reddy, Divya, Das, Yudhajit, Madhuranthakam, Ananth J., Ren, Jianxun, Siomos, Vasilis, Yan, Yonghong, Li, Zhaopei, Milesi, Alexandre, Nguyen, Quoc D., Huang, Tsung-Ming, Ma, Jun, Singh, Har Shwinder H., Xia, Yong, Dobko, Mariia, Carré, Alexandre, Alam, Saruar, Shah, Nameeta, Sako, Chiharu, Calabrese, Evan, Rudie, Jeffrey, Agzarian, Marc, Kozubek, Michal, Michálek, Jan, Ker^kovský, Miloš, Kopr^ivová, Tereza, Pinho, Marco C., Holcomb, James, Metz, Marie, Lee, Matthew D., Lui, Yvonne W., Yadav, Ipsa, Kumar, Neeraj, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Colen, Rivka R., Kotrotsou, Aikaterini, Sahm, Felix, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Landman, Bennett, Chotai, Silky, Lee, Joonsang, Jeraj, Robert, Xavier Falcão, Alexandre, Lucio, Diego R., Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Pichler, Josef, Necker, Georg, Meckel, Stephan, Mendoza, Cristobal, Baek, Stephen, Ismael, Heba, Allen, Bryan, Zacharaki, Evangelia I., Wen, Ning, Vallières, Martin, Lepage, Martin, Morón, Fanny, Mandel, Jacob, Liem, Spencer, Alexandre, Gregory S., Lombardo, Joseph, Odafe-Oyibotha, Olubunmi, Shu’aibu Hikima, Mustapha, Fu, Eric, Thompson, John A., Simpson, Amber L., Cutler, Danielle, Moraes, Fabio Y., Boss, Michael A., Schmidt, Kendall, Apgar, Charles, Kirby, Justin S., Albrecht, Jake, Karargyris, Alexandros, Maier-Hein, Klaus
Published in Nature communications (08.07.2025)
Published in Nature communications (08.07.2025)
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Journal Article
Diagnostic accuracy of convolutional neural network–based machine learning algorithms in endoscopic severity prediction of ulcerative colitis: a systematic review and meta-analysis
Jahagirdar, Vinay, Bapaye, Jay, Chandan, Saurabh, Ponnada, Suresh, Kochhar, Gursimran S., Navaneethan, Udayakumar, Mohan, Babu P.
Published in Gastrointestinal endoscopy (01.08.2023)
Published in Gastrointestinal endoscopy (01.08.2023)
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Journal Article
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion
Khosravi, Pegah, Lysandrou, Maria, Eljalby, Mahmoud, Li, Qianzi, Kazemi, Ehsan, Zisimopoulos, Pantelis, Sigaras, Alexandros, Brendel, Matthew, Barnes, Josue, Ricketts, Camir, Meleshko, Dmitry, Yat, Andy, McClure, Timothy D., Robinson, Brian D., Sboner, Andrea, Elemento, Olivier, Chughtai, Bilal, Hajirasouliha, Iman
Published in Journal of magnetic resonance imaging (01.08.2021)
Published in Journal of magnetic resonance imaging (01.08.2021)
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Journal Article
BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification
Ullah, Muhammad Sami, Khan, Muhammad Attique, Almujally, Nouf Abdullah, Alhaisoni, Majed, Akram, Tallha, Shabaz, Mohammad
Published in Scientific reports (11.03.2024)
Published in Scientific reports (11.03.2024)
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Journal Article