Z Ma, O Karakus, SM Shermer, FC Langbein. The Impact of Training Data on MRS Metabolite Quantification with Deep Learning. Poster. ISMRM & ISMRT Annual Meeting & Exhibition, Honolulu, Hawaiʻi, USA, 10-15 May 2025. [PDF:Abstract] [PDF:Poster]
presentation
E Alwadee, X Sun, Y Qin, FC Langbein. Assessing and Enhancing the Robustness of Brain Tumor Segmentation using a Probabilistic Deep Learning Architecture. Proc ISMRM and ISMRT Annual Meeting and Exhibition, Singapore, May 2024. [PDF] [Slides:PDF] [Video]
Assessing and Enhancing the Robustness of Brain Tumor Segmentation using ...
Frank C Langbein. Metabolite Quantification with AI from MR Spectra. Cardiff/University of Chinese Academy of Sciences (UCAS) Workshop on Visual Computing, 29th January 2024. [PDF]
Metabolite Quantification with AI from MR Spectra
Finding and Characterising Robust Quantum Controls. Faculti interview with Frank Langbein on robust quantum control, 25th May 2023. [URL: https://faculti.net/finding-and-characterising-robust-quantum-controls/]
Interview – Finding and Characterising Robust Quantum Controls
Zien Ma, Oktay Karakus, Sophie Shermer, Frank Langbein. Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning: Insights on Simulated and Real Data. Presentation at the One Day Meeting: Synthetic Data for Machine Learning, The British Machine Vision Association and Society for Pattern Recognition, Wednesday 8 November 2023. [PDF:abstract]
Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning ...
FC Langbein. Control and Machine Learning for Magnetic Resonance Spectroscopy. Keynote talk, Frontiers of Intelligent Computing: Theory and Applications (FICTA), 11-12 April 2023. [Slides]
Control and Machine Learning for Magnetic Resonance Spectroscopy
Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Sample-efficient Model-based Reinforcement Learning for Quantum Control. Poster, BQIT:23, 2023. [PDF:poster]
BQIT:23 – Sample-efficient Model-based Reinforcement Learning for Quantum Control
F.C. Langbein. Learning to Control Quantum Systems Robustly. AI3SD Video: Learning to Control Quantum Systems Robustly, 10/11/2021. AI3SD Autumn Seminar Series 2021. 13 Oct – 15 Dec 2021. [PDF] [Video] [DOI:10.5258/SOTON/AI3SD0163]
AI3SD: Learning to Control Quantum Systems Robustly
Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Finding and Characterising Robust Quantum Controls. Poster, BQIT:22, 2022. [PDF:poster]
BQIT:22 – Finding and Characterising Robust Quantum Controls
Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Finding and Characterising Robust Quantum Controls. Poster, European Quantum Technologies Conference EQTC, 2021. [PDF:poster] [PDF:abstract]
EQTC2021- Finding and Characterising Robust Quantum Controls
B. Thorpe, F. Langbein, S. Schirmer, K. Kalna. Temperature Affected Non-Equilibrium Spin Transport in Nanoscale In0.3Ga0.7As Transistors. 20th International Workshop on Computational Nanotechnology (IWCN), 20-24th May 20-24, 2019. [PDF]
Temperature Affected Non-Equilibrium Spin Transport in Nanoscale In0.3Ga0.7As Transistors
Frank C Langbein, Sophie G Shermer, Karol Kalna, Jon Evans, Greg Burwell. Dilute Magnetic Semiconductors for Spintronics: Mn:GaN. Cardiff Materials Research Network Conference, 17-18th January, 2019. [Slides] [Poster]