Assessing microbial colony counting: A deep learning approach with the AGAR image dataset
Sylwia Majchrowska, Jarosław Pawłowski, Grzegorz Guła, T. Bonus et autres
14 citationsNeurocomputing
T. Golan
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89Publications signalées
7558Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Neutrino Physics ResearchParticle physics theoretical and experimental studiesAstrophysics and Cosmic PhenomenaDark Matter and Cosmic PhenomenaParticle accelerators and beam dynamics
Publications récentes
1834P Accuracy of recommendations by a conversational Artificial Intelligence (AI) cancer mentor application (app): A multi-disciplinary, multi-institutional evaluation report
T. Golan, Ofer Purim, Ilya Iofin, Danny Rosin et autres
0 citationsAnnals of Oncology
Robust deep learning based shrimp counting in an industrial farm setting
Christina Bukas, Frauke Albrecht, Muhammad Saeed Ur- Rehman, Daniel Popek et autres
11 citationsJournal of Cleaner Production
Self-normalized density map (SNDM) for counting microbiological objects
Krzysztof M. Graczyk, Jarosław Pawłowski, Sylwia Majchrowska, T. Golan
0 citationsScientific Reports
Generation of microbial colonies dataset with deep learning style transfer
Jarosław Pawłowski, Sylwia Majchrowska, T. Golan
30 citationsScientific Reports
Deep Neural Networks Approach to Microbial Colony Detection—A Comparative Analysis
Sylwia Majchrowska, Jarosław Pawłowski, Natalia Czerep, Aleksander Górecki et autres
10 citationsLecture notes in networks and systems
Generation of microbial colonies dataset with deep learning style transfer
Jarosław Pawłowski, Sylwia Majchrowska, T. Golan
0 citationsarXiv (Cornell University)
AGAR a microbial colony dataset for deep learning detection
Sylwia Majchrowska, Jarosław Pawłowski, Grzegorz Guła, T. Bonus et autres
3 citationsarXiv (Cornell University)
AGAR a Microbial Colony Dataset for Deep Learning Detection
Sylwia Majchrowska, Jarosław Pawłowski, Grzegorz Guła, T. Bonus et autres
39 citationsResearch Square
Neutral pion reconstruction using machine learning in the experiment at 〈E ν〉 6 GeV
A. Ghosh, B. Yaeggy, R. Galindo, Z. Ahmad Dar et autres
0 citationsJournal of Instrumentation
Measurements of $\overline{\nu}_{\mu}$ and $\overline{\nu}_{\mu} + \nu_{\mu}$ charged-current cross-sections without detected pions or protons on water and hydrocarbon at a mean anti-neutrino energy of 0.86 GeV
K. Abe, N. Akhlaq, R. Akutsu, A. Ali et autres
0 citationsRWTH Publications (RWTH Aachen)
First measurement of the charged current ν¯μ double differential cross section on a water target without pions in the final state
K. Abe, R. Akutsu, A. Ali, C. Alt et autres
11 citationsPhysical review. D/Physical review. D.
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