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- 2021
- Artificial intelligence with deep learning in nuclear medicine and radiology (2021) EJNMMI PHYSICS. 8(1).
- Artificial neural networks for positioning of gamma interactions in monolithic PET detectors (2021) PHYSICS IN MEDICINE AND BIOLOGY. 66(7).
- Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma (2021) COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. 88.
- High resolution monolithic LYSO detector with 6-layer depth-of-interaction for clinical PET (2021) PHYSICS IN MEDICINE AND BIOLOGY. 66(15).
- Advancing medical imaging with artificial intelligence : PET acquisition enhancement and MRI-based brain tumour diagnosis (2021)
- 2020
- Automated MRI based pipeline for glioma segmentation and prediction of grade, IDH mutation and 1p19q co-deletion (2020) Medical Imaging with Deep Learning : MIDL 2020 -- Short Paper Track.
- Mitigating the adverse effect of compton scatter on the positioning of gamma interactions in large monolithic pet detectors (2020) 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). In IEEE conference record Nuclear Science Symposium & Medical Imaging Conference
- Spatial resolution of large monolithic detector : performance evaluation with two positioning algorithms (2020) IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Abstracts.
- 2019
- Fully automatic binary glioma grading based on pre-therapy MRI using 3D Convolutional Neural Networks (2019) Medical Imaging with Deep Learning, MIDL 2019, Proceedings.
- AI in medical imaging (2019) CRIG Industrial Partnering Event 2019, Abstracts.
- Deep learning for positioning of gamma interactions in monolithic PET detectors (2019) 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Abstracts.
- 2018
- Binary Glioma grading : radiomics versus pre-trained CNN features (2018) Medical Imaging Summer School 2018 : Medical Imaging meets Deep Learning. In MISS 2018: poster session booklet p.13-13
- Binary Glioma grading : radiomics versus pre-trained CNN features (2018) MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, PT III. In Lecture Notes in Computer Science 11072. p.498-505
- 2017
- Brain Tumour Classification Using Deep Features from Structural MRI (2017) In National Day on Biomedical Engineering p.1-1