Integrated shimming for parallel NMR spectroscopy. PhD dissertation
Cheng, Y.-T.
2024, November 26. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000176440  

Simultaneous multinuclear MRI via a single RF channel
Vaezi K., M. R.; Korvink, J. G.; Jouda, M.
2024. Journal of Magnetic Resonance, 368, 107782. doi:10.1016/j.jmr.2024.107782  

Frequency Multiplexing Enables Parallel Multi-Sample EPR
Lee, C. H.; Korvink, J. G.; Jouda, M.
2024, May 24. doi:10.35097/KefAuwQWRQPRPiur 

Artificial Intelligence in Magnetic Resonance: A Focus on Enhanced NMR Shimming and RASER MRI Artefact Correction. PhD dissertation
Becker, M.
2024, April 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170292  

Localized Shims Enable Low-Field Simultaneous Multinuclear NMR Spectroscopy
Esmaeilizadshali, H.; Lehmkuhl, S.; Korvink, J.; Jouda, M.
2024. Analytical Chemistry. doi:10.1021/acs.analchem.4c02965  

Frequency multiplexing enables parallel multi-sample EPR
Lee, C. H.; Korvink, J. G.; Jouda, M.
2024. Scientific Reports, 14 (1), Art.-Nr.: 11815. doi:10.1038/s41598-024-62564-4  

A digital twin for parallel liquid-state nuclear magnetic resonance spectroscopy
He, M.; Faderl, D.; MacKinnon, N.; Cheng, Y.-T.; Buyens, D.; Jouda, M.; Luy, B.; Korvink, J. G.
2024. Communications Engineering, 3 (1), Art.-Nr.: 90. doi:10.1038/s44172-024-00233-0  

ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks
Werner, C.; Wallrabe, U.; Christen, A.; Comella, L.; Dormann, C.; Göritz, A.; Grote, R.; Haberstroh, S.; Jouda, M.; Kiese, R.; Koch, B.; Korvink, J.; Kreuzwieser, J.; Lang, F.; Müller, J.; Prucker, O.; Reiterer, A.; Rühe, J.; Rupitsch, S.; Schack-Kirchner, H.; Schmitt, K.; Stobbe, N.; Weiler, M.; Woias, P.; Wöllenstein, J.
2024. Research Ideas and Outcomes, 10, Art.-Nr.: 129357. doi:10.3897/rio.10.e129357  

Accelerated Screening of Protein–Ligand Interactions via Parallel T -Weighted F-MRI
Faderl, D.; Chenakkara, A.; Jouda, M.; MacKinnon, N.; Gossert, A. D.; Korvink, J. G.
2024. Analytical Chemistry, 96 (24), 9859–9865. doi:10.1021/acs.analchem.4c00333  

A field focusing butterfly stripline detects NMR at higher signal-to-noise ratio
Cheng, Y.-T.; Korvink, J. G.; Jouda, M.
2023. Journal of Magnetic Resonance, 353, Art.-Nr.: 107517. doi:10.1016/j.jmr.2023.107517  

Optimal control flow encoding for time-efficient magnetic resonance velocimetry
Alinaghian Jouzdani, M.; Jouda, M.; Korvink, J. G.
2023. Journal of Magnetic Resonance, 352, Art.-Nr.: 107461. doi:10.1016/j.jmr.2023.107461 

Optimization of laser-induced OH Radical Generation in Water
Geiger, L. M.; Jouda, M.; Länge, K.; Rapp, M.; Voigt, A.; Howard, I.; MacKinnon, N.; Korvink, J.
2023, April 18. Experimental Nuclear Magnetic Resonance Conference (ENC 2023), Pacific Grove, CA, USA, April 16–21, 2023  

Artificial intelligence-driven shimming for parallel high field nuclear magnetic resonance
Becker, M.; Cheng, Y.-T.; Voigt, A.; Chenakkara, A.; He, M.; Lehmkuhl, S.; Jouda, M.; Korvink, J. G.
2023. Scientific Reports, 13 (1), Art.-Nr.: 17983. doi:10.1038/s41598-023-45021-6  

Acquisitions with random shim values enhance AI-driven NMR shimming
Becker, M.; Lehmkuhl, S.; Kesselheim, S.; Korvink, J. G.; Jouda, M.
2022. Journal of Magnetic Resonance, 345, Art.-Nr.: 107323. doi:10.1016/j.jmr.2022.107323 

All-optical thermometry using a single multimode fiber endoscope and diamond nanoparticles containing nitrogen vacancy centers
Ishikawa, L.; Shikama, T.; Kakuno, T.; Watanabe, T.; Jouda, M.; Hasuo, M.
2022. Review of Scientific Instruments, 93 (8), Art.-Nr.: 083705. doi:10.1063/5.0102531 

Net-phase flow NMR for compact applications
Silva, P. F.; Jouzdani, M. A.; Condesso, M.; Hurtado Rivera, A. C.; Jouda, M.; Korvink, J. G.
2022. Journal of Magnetic Resonance, 341, Art.-Nr. 107233. doi:10.1016/j.jmr.2022.107233  

Integrated shimming enables independently parallel NMR detection
Cheng, Y.-T.; Jouda, M.; Korvink, J.
2022, May 3. doi:10.5445/IR/1000145508 

Dataset to the publication ’Automatic Adaptive Gain for Magnetic Resonance Sensitivity Enhancement’
Jouda, M.
2022, January 31. doi:10.5445/IR/1000142540 

Dataset to the publication ’ArduiTaM: accurate and inexpensive NMR auto tune and match system’
Jouda, M.
2022, January 31. doi:10.5445/IR/1000142539 

Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
Wadhwa, S.; Jouda, M.; Deng, Y.; Nassar, O.; Mager, D.; Korvink, J. G.
2022, January 31. doi:10.5445/IR/1000142493 

Lenz Lenses in a Cryoprobe: Boosting NMR Sensitivity Toward Environmental Monitoring of Mass-Limited Samples
Bastawrous, M.; Ghosh Biswas, R.; Soong, R.; Jouda, M.; MacKinnon, N.; Mager, D.; Korvink, J. G.; Simpson, A. J.
2022. Analytical Chemistry, 95 (2), 1327–1334. doi:10.1021/acs.analchem.2c04203 

Sample-centred shimming enables independent parallel NMR detection
Cheng, Y.-T.; Jouda, M.; Korvink, J.
2022. Scientific Reports, 12 (1), Article no: 14149. doi:10.1038/s41598-022-17694-y  

Deep regression with ensembles enables fast, first-order shimming in low-field NMR
Becker, M.; Jouda, M.; Kolchinskaya, A.; Korvink, J. G.
2022. Journal of magnetic resonance, 336, Art.-Nr. 107151. doi:10.1016/j.jmr.2022.107151  

Magnetostatic reciprocity for MR magnet design
Silva, P. F.; Jouda, M.; Korvink, J. G.
2021. Magnetic Resonance, 2, 607–617. doi:10.5194/mr-2-607-2021  

Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment
MacKinnon, N.; Alinaghian, M.; Silva, P.; Gloge, T.; Luy, B.; Jouda, M.; Korvink, J. G.
2021. Magnetic resonance, 2 (2), 835–842. doi:10.5194/mr-2-835-2021  

Integrated impedance sensing of liquid sample plug flow enables automated high throughput NMR spectroscopy
Nassar, O.; Jouda, M.; Rapp, M.; Mager, D.; Korvink, J. G.; MacKinnon, N.
2021. Microsystems and Nanoengineering, 7 (1), Art.-Nr.: 30. doi:10.1038/s41378-021-00253-2  

Topologically optimized magnetic lens for magnetic resonance applications
Wadhwa, S.; Jouda, M.; Deng, Y.; Nassar, O.; Mager, D.; Korvink, J. G.
2020. Magnetic Resonance, 1 (2), 225–236. doi:10.5194/mr-1-225-2020  

Topologically optimized magnetic lens for magnetic resonance applications
Wadhwa, S.; Jouda, M.; Deng, Y.; Nassar, O.; Mager, D.; Korvink, J. G.
2020, October 6. doi:10.5445/IR/1000124281 

Integrated impedance sensors in a microfluidic system: Toward a fully automated high throughput nmr spectroscopy
Nassar, O.; Jouda, M.; Korvink, J.; Mager, D.; Mackinnon, N.
2020. 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020; Virtual, Online; 4 through 9 October 2020, 723–724, Chemical and Biological Microsystems Society (CBMS) 

Characterization of a Wireless Vacuum Sensor Prototype Based on the SAW-Pirani Principle
Toto, S.; Jouda, M.; Korvink, J. G.; Sundarayyan, S.; Voigt, A.; Davoodi, H.; Brandner, J. J.
2020. Processes, 8 (12), Art.-Nr.: 1685. doi:10.3390/pr8121685  

ArduiTaM: accurate and inexpensive NMR auto tune and match system
Jouda, M.; Torres Delgado, S. M.; Jouzdani, M. A.; Mager, D.; Korvink, J. G.
2020. Magnetic Resonance, 1 (1), 105–113. doi:10.5194/mr-1-105-2020  

Geometrically-differential NMR in a stripline front-end
Silva, P. F.; Jouda, M.; Korvink, J. G.
2020. Journal of magnetic resonance, 310, Art.Nr.: 106659. doi:10.1016/j.jmr.2019.106659 

A multi-purpose, rolled-up, double-helix resonator
Silva, P. F.; Delgado, S. M. T.; Jouda, M.; Mager, D.; Korvink, J. G.
2019. Journal of magnetic resonance, 309, Article: 106599. doi:10.1016/j.jmr.2019.106599 

Broadband and multi-resonant sensors for NMR
Davoodi, H.; Jouda, M.; Korvink, J. G.; MacKinnon, N.; Badilita, V.
2019. Progress in nuclear magnetic resonance spectroscopy, 112-113, 34–54. doi:10.1016/j.pnmrs.2019.05.001 

”Small is beautiful” in NMR
Korvink, J. G.; MacKinnon, N.; Badilita, V.; Jouda, M.
2019. Journal of magnetic resonance, 306, 112–117. doi:10.1016/j.jmr.2019.07.012 

Motion prediction enables simulated MR-imaging of freely moving model organisms
Reischl, M.; Jouda, M.; MacKinnon, N.; Fuhrer, E.; Bakhtina, N.; Bartschat, A.; Mikut, R.; Korvink, J. G.
2019. PLoS Computational Biology, 15 (12), e1006997. doi:10.1371/journal.pcbi.1006997  

Gradient-induced mechanical vibration of neural interfaces during MRI
Fuhrer, E.; Jouda, M.; Klein, C. O.; Wilhelm, M.; Korvink, J. G.
2019. IEEE transactions on biomedical engineering, 67 (3), 915–923. doi:10.1109/TBME.2019.2923693  

Automatic adaptive gain for magnetic resonance sensitivity enhancement
Jouda, M.; Fuhrer, E.; Silva, P.; Korvink, J. G.; MacKinnon, N.
2019. Analytical chemistry. doi:10.1021/acs.analchem.8b05148 

Microarrays and microelectronics for magnetic resonance
Gruschke, O.; Jouda, M.; Korvink, J. G.
2018. Micro and Nanoscale NMR. Hrsg.: J. Anders, 59–73, Wiley-VCH Verlag 

Nuclear Magnetic Resonance Microscopy for In Vivo Metabolomics, Digitally Twinned by Computational Systems Biology, Needs a Sensitivity Boost
Korvink, J. G.; Badilita, V.; Bordonali, L.; Jouda, M.; Mager, D.; MacKinnon, N.
2018. Sensors and materials, 30 (2), 157–166. doi:10.18494/SAM.2018.1711 

A comparison of Lenz lenses and LC resonators for NMR signal enhancement
Jouda, M.; Kamberger, R.; Leupold, J.; Spengler, N.; Hennig, J.; Gruschke, O.; Korvink, J. G.
2018. Concepts in magnetic resonance / B, 47B (3), Art.Nr. e21357. doi:10.1002/cmr.b.21357  

Optical gauge head to evaluate gradient field induced vibrations of conductive structures during MRI
Fuhrer, E.; Jouda, M.; Gruschke, O. G.; Korvink, J. G.
2017. 19th International Conference on Electromagnetics in Advanced Applications, Verona, Italy, 11th - 15th September 2017, 1555–1558, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICEAA.2017.8065581 

A new fully integrated multichannel receiver design for magnetic resonance imaging
Jouda, M.; Gruschke, O. G.; Korvink, J. G.
2016. Concepts in magnetic resonance / B, 46 (3), 134–145. doi:10.1002/cmr.b.21341 

Innovative Concepts for the Electronic Interface of Massively Parallel MRI Phased Imaging Arrays. PhD dissertation
Jouda, M.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000056774  

CMOS frequency division multiplexer enables multi-channel magnetic resonance imaging with a single channel spectrometer
Jouda, M.; Gruschke, O. G.; Fischer, E.; Leupold, J.; Elverfeldt, D. von; Hennig, J.; Korvink, J. G.
2015. MikroSystemTechnik Kongress 2015, Karlsruhe, 26.-28.Oktober 2015 

CMOS frequency division multiplexer enables multi-channel magnetic resonance imaging with a single channel spectrometer
Jouda, M.; Gruschke, O. G.; Fischer, E.; Leupold, J.; Elverfeldt, D. von; Hennig, J.; Korvink, J. G.
2015. MikroSystemTechnik Kongress 2015, Karlsruhe, 26.-28.Oktober 2015, 720–723, VDE Verlag 

Circuit level simulation of MRI receive chain using excitation derived from images
Jouda, M.; Gruschke, O. G.; Korvink, J. G.
2015. Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering, 44 (4), 102–113. doi:10.1002/cmr.b.21275 

CMOS 8-channel frequency division multiplexer for 9.4 T magnetic resonance imaging
Jouda, M.; Gruschke, O. G.; Korvink, J. G.
2013. 9th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME 2013) : Villach, Austria, 24 - 27 June 2013, 25–28, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PRIME.2013.6603097