Habib Zaidi

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Articles (21)

Collaborators (7)

Arman Rahmim

The University of British Columbia

Sana Boudabbous

University Hospital of Geneva

Nathalie Ginovart

Associate Professor

University of Geneva

Peter Boor

University Hospital RWTH Aachen

Deniz Gündüz

Imperial College London

UNITED KINGDOM

Minerva Becker

Professor of Radiology, Head of the Unit for Head and Neck and Maxillo-facial Radiology

University Hospital of Geneva

Andrew Boehringer

University of Geneva

Habib Zaidi

Research Interests

Explore related searches

Contact this professor

Articles (21)

Collaborators (7)

Arman Rahmim

Sana Boudabbous

Nathalie Ginovart

Peter Boor

Deniz Gündüz

Minerva Becker

Andrew Boehringer

How do I reach out?

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Habib Zaidi

Research Interests

Explore related searches

Contact this professor

Articles (21)

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)

An efficient dual-domain deep learning network for sparse-view CT reconstruction

Single annotator versus multi-annotator: Challenge of segmenting two neighboring hippocampus head and body with high precision

PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms.

Organomics: A Concept Reflecting the Importance of PET/CT Healthy Organ Radiomics in Non-Small Cell Lung Cancer Prognosis Prediction Using Machine Learning.

Initial clinical experience using <sup>68</sup>Ga-FAPI-46 PET/CT for detecting various cancer types.

ECMP 2022 special issue editorial

Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study

Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET

The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized 90Y glass microspheres SIRT: a preliminary machine learning study

Information fusion for fully automated segmentation of head and neck tumors from PET and CT images

A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information

Multi-institutional PET/CT image segmentation using federated deep transformer learning

An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images

Reduction of scan duration and radiation dose in cerebral CT perfusion imaging of acute stroke using a recurrent neural network

Dual-centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer Histopathological Subtype Phenotype Decoding

Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study

Construction of a digital fetus library for radiation dosimetry

Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance

Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning

Collaborators (7)

Arman Rahmim

Sana Boudabbous

Nathalie Ginovart

Peter Boor

Deniz Gündüz

Minerva Becker

Andrew Boehringer

How do I reach out?

Meet Kite AI