Muhammad Mushtaq, M.Sc.
Raum 1.015
Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160 (Geb. 64)
23562 Lübeck
Email: | muhammad.mushtaq(at)uni-luebeck.de |
Phone: | +49 451 3101 5507 |
Fax: | +49 451 3101 5504 |
Mushtaq,
Muhammad;
Haq,
Rizwan;
Anwar,
Waqas;
Marshall,
Lisa;
Bazhenov,
Maxim;
Zia,
Kashif;
Alam,
Hina;
Hertel,
Lars;
Awan,
Abdul Aleem;
Martinetz,
Thomas
A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells
Bioengineered, 12, issue 1 :2603--2615
2021
A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells
Bioengineered, 12, issue 1 :2603--2615
2021
DOI: | 10.1080/21655979.2021.1936894 |
Datei: | MuHaAnetal21.pdf |
Bibtex: | @article {MuHaAnetal21, author = {Muhammad Mushtaq and Rizwan ul Haq and Waqas Anwar and Lisa Marshall and Maxim Bazhenov and Kashif Zia and Hina Alam and Lars Hertel and Abdul Aleem Awan and Thomas Martinetz}, title = {A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells}, journal = {Bioengineered}, volume = {12, issue 1}, pages = {2603--2615}, year = {2021}, doi = {10.1080/21655979.2021.1936894}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MuHaAnetal21.pdf} } |
Khan,
Hassan Ali;
Jue,
Wu;
Mushtaq,
Muhammad;
Mushtaq,
Muhammad Umer
Brain tumor classification in MRI image using convolutional neural network
Mathematical Biosciences and Engineering, 17, issue 5 :6203--6216
2020
Brain tumor classification in MRI image using convolutional neural network
Mathematical Biosciences and Engineering, 17, issue 5 :6203--6216
2020
DOI: | 10.3934/mbe.2020328 |
Datei: | KhJuMuMu20.pdf |
Bibtex: | @article{KhJuMuMu20, author = {Hassan Ali Khan and Wu Jue and Muhammad Mushtaq and Muhammad Umer Mushtaq}, title = {Brain tumor classification in MRI image using convolutional neural network}, journal = {Mathematical Biosciences and Engineering}, volume = {17, issue 5}, pages = {6203--6216}, year = {2020}, doi = {10.3934/mbe.2020328}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KhJuMuMu20.pdf} } |