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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
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
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
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
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
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
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
Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis
Bahl, Manisha, Kshirsagar, Ashwini, Pohlman, Scott, Lehman, Constance D.
Published in Breast cancer research and treatment (01.04.2025)
Published in Breast cancer research and treatment (01.04.2025)
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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
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
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
Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader study
Prucker, Philipp, Lemke, Tristan, Mertens, Christian J., Ziegelmayer, Sebastian, Graf, Markus M., Weller, Dominik, Kim, Su Hwan, Gassert, Florian T., Kader, Avan, Dorfner, Felix J., Meddeb, Aymen, Makowski, Marcus R., Lammert, Jacqueline, Huber, Thomas, Lohöfer, Fabian, Bressem, Keno K., Adams, Lisa C., Luiken, Ina, Busch, Felix
Published in International journal of medical informatics (Shannon, Ireland) (01.01.2026)
Published in International journal of medical informatics (Shannon, Ireland) (01.01.2026)
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Journal Article
Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images
Li, Huimin, Cao, Jing, Grzybowski, Andrzej, Jin, Kai, Lou, Lixia, Ye, Juan
Published in Healthcare (Basel) (13.06.2023)
Published in Healthcare (Basel) (13.06.2023)
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Journal Article
Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study
Greffier, Joël, Durand, Quentin, Frandon, Julien, Si-Mohamed, Salim, Loisy, Maeliss, de Oliveira, Fabien, Beregi, Jean-Paul, Dabli, Djamel
Published in European radiology (01.01.2023)
Published in European radiology (01.01.2023)
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Journal Article
MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers
Volkmann, Heiko, Höglinger, Günter U., Grön, Georg, Bârlescu, Lavinia A., Müller, Hans-Peter, Kassubek, Jan
Published in Computers in biology and medicine (01.02.2025)
Published in Computers in biology and medicine (01.02.2025)
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Journal Article
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Hussain, Lal, Nguyen, Tony, Li, Haifang, Abbasi, Adeel A., Lone, Kashif J., Zhao, Zirun, Zaib, Mahnoor, Chen, Anne, Duong, Tim Q.
Published in Biomedical engineering online (25.11.2020)
Published in Biomedical engineering online (25.11.2020)
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Journal Article