Dr. Carlos F. Uribe Profile

Dr. Carlos F. Uribe

at BC Cancer Research Institute

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 7 April 2023 Poster + Paper

Clinician-interactive AI for RECIST measurements in CT imaging

Luke Polson, Ivan Klyuzhin, Ren Yuan, Monty Martin, Isaac Shiri, Habib Zaidi, Carlos Uribe, Arman Rahmim

Proceedings Volume 12463, 124633N (2023) https://doi.org/10.1117/12.2654320

KEYWORDS: Computed tomography, Artificial intelligence, Education and training, Cancer, Data modeling, Image segmentation, Lung cancer, Tumor growth modeling, Oncology, Deep learning

Read Abstract +

Proceedings Article | 3 April 2023 Presentation + Paper

Observer study-based evaluation of TGAN architecture used to generate oncological PET images

Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav Jha, Robert Bergen, Jean-Francois Rajotte, Raymond Ng, Ingrid Bloise, Sara Harsini, Dan Kadrmas, Carlos Uribe, Arman Rahmim

Proceedings Volume 12467, 124670S (2023) https://doi.org/10.1117/12.2652661

KEYWORDS: Positron emission tomography, Education and training, Cancer, Image segmentation, Tumors, Video, Artificial intelligence, Nuclear medicine, Medical imaging

Read Abstract +

Proceedings Article | 3 April 2023 Poster + Paper

State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images

Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos Uribe, Arman Rahmim

Proceedings Volume 12464, 124643E (2023) https://doi.org/10.1117/12.2654527

KEYWORDS: Object detection, Principal component analysis, Education and training, Positron emission tomography, Detection and tracking algorithms, Image segmentation, Cancer detection, Evolutionary algorithms, Computer aided detection, 3D projection

Read Abstract +

Proceedings Article | 3 April 2023 Poster + Paper

Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging

Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos Uribe, Arman Rahmim

Proceedings Volume 12464, 124643C (2023) https://doi.org/10.1117/12.2654492

KEYWORDS: Education and training, Image segmentation, Positron emission tomography, Lymphoma, Data modeling, Tumors, Machine learning, 3D modeling, Voxels, Performance modeling

Read Abstract +

Proceedings Article | 3 April 2023 Poster + Paper

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim

Proceedings Volume 12464, 124641Q (2023) https://doi.org/10.1117/12.2652947

KEYWORDS: Education and training, Data modeling, Positron emission tomography, Tumors, Performance modeling, Binary data, Computed tomography, Lymphoma, Image segmentation, Image classification, X-ray computed tomography

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images

Fereshteh Yousefirizi, Natalia Dubljevic, Shadab Ahamed, Ingrid Bloise, Claire Gowdy, Joo Hyun O, Youssef Farag, Rodrigue de Schaetzen, Patrick Martineau, Don Wilson, Carlos Uribe, Arman Rahmim

Proceedings Volume 12032, 120320V (2022) https://doi.org/10.1117/12.2612675

KEYWORDS: Image segmentation, Lymphoma, 3D modeling, Positron emission tomography, Data modeling, Brain, Bladder, Cancer, Convolutional neural networks, Tumors

Read Abstract +

Proceedings Article | 4 April 2022 Poster + Paper

A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma

Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos Uribe, Arman Rahmim, Fereshteh Yousefirizi

Proceedings Volume 12032, 120323M (2022) https://doi.org/10.1117/12.2612684

KEYWORDS: Machine learning, Convolutional neural networks, Digital image processing, Cancer, Image segmentation, Tumors, Positron emission tomography, 3D modeling, Sensors, Lymphoma, 3D image processing, Network architectures, Performance modeling, Image classification

Read Abstract +

Showing 5 of 7 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years