| A brief history of AI: how to prevent another winter (a critical review) A Toosi, AG Bottino, B Saboury, E Siegel, A Rahmim PET clinics 16 (4), 449-469, 2021 | 170 | 2021 |
| Feature fusion for fingerprint liveness detection: a comparative study A Toosi, A Bottino, S Cumani, P Negri, PL Sottile IEEE Access 5, 23695-23709, 2017 | 41 | 2017 |
| Generative adversarial networks for anomaly detection in biomedical imaging: A study on seven medical image datasets M Esmaeili, A Toosi, A Roshanpoor, V Changizi, M Ghazisaeedi, ... IEEE Access 11, 17906-17921, 2023 | 31 | 2023 |
| CNN Patch-Based Voting for Fingerprint Liveness Detection. A Toosi, S Cumani, A Bottino IJCCI, 158-165, 2017 | 24 | 2017 |
| Tensor radiomics: Paradigm for systematic incorporation of multi-flavoured radiomics features A Rahmim, A Toosi, MR Salmanpour, N Dubljevic, I Janzen, I Shiri, ... 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | 15 | 2022 |
| Virtual reality haptic simulation of root canal therapy A Toosi, M Arbabtafti, B Richardson Applied Mechanics and Materials 666, 388-392, 2014 | 15 | 2014 |
| GAINE–A portable framework for the development of edutainment applications based on multitouch and tangible interaction A Bottino, A Martina, F Strada, A Toosi Entertainment Computing 16, 53-65, 2016 | 13 | 2016 |
| Assessing transfer learning on convolutional neural networks for patch-based fingerprint liveness detection A Toosi, S Cumani, A Bottino Computational Intelligence: 9th International Joint Conference, IJCCI 2017 …, 2019 | 7 | 2019 |
| On multiview analysis for fingerprint liveness detection A Toosi, S Cumani, A Bottino Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 7 | 2015 |
| State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images A Toosi, S Harsini, S Ahamed, F Yousefirizi, F Bénard, C Uribe, A Rahmim Medical Imaging 2023: Image Processing 12464, 784-791, 2023 | 6 | 2023 |
| Segmentation-free outcome prediction from head and neck cancer PET/CT images: Deep learning-based feature extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) A Toosi, I Shiri, H Zaidi, A Rahmim Cancers 16 (14), 2538, 2024 | 2 | 2024 |
| GAINE—tanGible augmented interaction for edutainment A Bottino, A Martina, A Toosi 2015 7th International Conference on Intelligent Technologies for …, 2015 | 2 | 2015 |
| A 3D UNet for automated metastatic lesions detection and segmentation from PSMA-PET images of patients with biochemical recurrence prostate cancer O Dzikunu, S Ahamed, A Toosi, S Harsini, F Benard, A Rahmim, C Uribe Journal of Nuclear Medicine 65 (supplement 2), 242504-242504, 2024 | 1 | 2024 |
| Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images A Toosi, I Shiri, H Zaidi, A Rahmim arXiv preprint arXiv:2405.01756, 2024 | 1 | 2024 |
| Advanced Deep Learning-based Lesion Detection on Rotational 2D Maximum Intensity Projection (MIP) Images Coupled with Reverse Mapping to the 3D PET Domain A Toosi, S Harsini, F Benard, C Uribe, A Rahmim Journal of Nuclear Medicine 64 (supplement 1), P1438-P1438, 2023 | 1 | 2023 |
| Towards enhanced automated tumor detection using background slice annotation methods in clinical pet imaging of lymphoma S Ahamed, A Toosi, C Uribe, A Rahmim, F Yousefirizi Journal of Nuclear Medicine 63 (supplement 2), 3346-3346, 2022 | 1 | 2022 |
| Multi-modal, multi-organ deep segmentation of salivary and lacrimal glands in PSMA PET/CT images A Toosi, G Chausse, C Chen, I Klyuzhin, F Benard, A Rahmim Journal of Nuclear Medicine 63 (supplement 2), 2587-2587, 2022 | 1 | 2022 |
| Feature Fusion for Fingerprint Liveness Detection. A Toosi, A Bottino, PL Sottile Polytechnic University of Turin, Italy, 2018 | 1 | 2018 |
| How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and … A Toosi, S Harsini, F Bénard, C Uribe, A Rahmim MICCAI Workshop on Deep Generative Models, 212-221, 2024 | | 2024 |
| Prediction of Standard-Dose Brain 18F-Flortaucipir PET Images via Implicit Neural Networks NA Olia, A Sanaat, F Yousefirizi, A Toosi, H Zaidi, A Rahmim Journal of Nuclear Medicine 65 (supplement 2), 242454-242454, 2024 | | 2024 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British ColumbiaVerified email at ubc.ca
