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ORCIDAmirhosein Toosi
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2020 – today
- 2024
[c7]Amirhosein Toosi
, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim:
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 Diffusion Models. DGM4MICCAI@MICCAI 2024: 212-221- [i4]Amirhosein Toosi, Isaac Shiri, Habib Zaidi, Arman Rahmim:
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. CoRR abs/2405.01756 (2024) - [i3]Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim:
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 Diffusion Models. CoRR abs/2407.18555 (2024) - 2023
- [j4]Marzieh Esmaeili, Amirhosein Toosi, Arash Roshanpoor, Vahid Changizi, Marjan Ghazisaeedi, Arman Rahmim, Mohammad Sabokrou:
Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. IEEE Access 11: 17906-17921 (2023) - [c6]Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim:
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. Image Processing 2023 - [c5]Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim:
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Image Processing 2023 - 2022
- [i2]Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri, Mohamad A. Ramezani, Ren Yuan, Cheryl Ho, Habib Zaidi, Calum MacAulay, Carlos F. Uribe, Fereshteh Yousefirizi:
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. CoRR abs/2203.06314 (2022) - 2021
- [i1]Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot L. Siegel, Arman Rahmim:
A brief history of AI: how to prevent another winter (a critical review). CoRR abs/2109.01517 (2021)
2010 – 2019
- 2018
- [b1]Amirhosein Toosi:
Feature Fusion for Fingerprint Liveness Detection. Polytechnic University of Turin, Italy, 2018 - 2017
- [j3]Amirhosein Toosi, Andrea Bottino, Sandro Cumani, Pablo Negri, Pietro Luca Sottile:
Feature Fusion for Fingerprint Liveness Detection: a Comparative Study. IEEE Access 5: 23695-23709 (2017) - [c4]Amirhosein Toosi, Sandro Cumani, Andrea Bottino:
CNN Patch-Based Voting for Fingerprint Liveness Detection. IJCCI 2017: 158-165 - [c3]Amirhosein Toosi, Sandro Cumani, Andrea Bottino:
Assessing Transfer Learning on Convolutional Neural Networks for Patch-Based Fingerprint Liveness Detection. IJCCI (Selected Papers) 2017: 263-279 - 2016
- [j2]Andrea Bottino, Andrea Martina, Francesco Strada, Amirhosein Toosi:
GAINE - A portable framework for the development of edutainment applications based on multitouch and tangible interaction. Entertain. Comput. 16: 53-65 (2016) - 2015
- [j1]Andrea Bottino, Andrea Martina, Amirhosein Toosi:
GAINE - tanGible Augmented INteraction for Edutainment. EAI Endorsed Trans. Future Intell. Educ. Environ. 1(5): e1 (2015) - [c2]Amirhosein Toosi, Sandro Cumani, Andrea Bottino:
On Multiview Analysis for Fingerprint Liveness Detection. CIARP 2015: 143-150 - [c1]Andrea Bottino, Andrea Martina, Amirhosein Toosi:
GAINE - tanGible augmented interaction for edutainment. INTETAIN 2015: 207-216
Coauthor Index
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