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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
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
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
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
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
Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC
Wang, Chengdi, Ma, Jiechao, Shao, Jun, Zhang, Shu, Li, Jingwei, Yan, Junpeng, Zhao, Zhehao, Bai, Congchen, Yu, Yizhou, Li, Weimin
Published in Frontiers in immunology (07.04.2022)
Published in Frontiers in immunology (07.04.2022)
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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
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
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
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
An Enhanced Approach for Predicting Breast Cancer Using Different Deep Learning Algorithms and Explainable AI Techniques in an IoT Environment
Bouallegue, Belgacem, Abd El-Latif, Yasser M., El-Sofany, Hosam, Taj-Eddin, Islam A. T. F.
Published in International journal of intelligent systems (01.01.2025)
Published in International journal of intelligent systems (01.01.2025)
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Journal Article
A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis
Zubair, Muhammad, Hussain, Muzammil, Albashrawi, Mousa Ahmad, Bendechache, Malika, Owais, Muhammad
Published in Computer methods and programs in biomedicine (01.12.2025)
Published in Computer methods and programs in biomedicine (01.12.2025)
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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
Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies
Kundisch, Almut, Hönning, Alexander, Mutze, Sven, Kreissl, Lutz, Spohn, Frederik, Lemcke, Johannes, Sitz, Maximilian, Sparenberg, Paul, Goelz, Leonie
Published in PloS one (29.11.2021)
Published in PloS one (29.11.2021)
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Journal Article
Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging
Gurunathan, Pradeep, Srinivasan, Preethi Saroj, S, Ravimaran
Published in Scientific reports (30.09.2025)
Published in Scientific reports (30.09.2025)
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Journal Article
Generation of virtual lung single‐photon emission computed tomography/CT fusion images for functional avoidance radiotherapy planning using machine learning algorithms
Jang, Bum‐Sup, Chang, Ji Hyun, Park, Andrew J, Wu, Hong‐Gyun
Published in Journal of medical imaging and radiation oncology (01.04.2019)
Published in Journal of medical imaging and radiation oncology (01.04.2019)
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Journal Article