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20222026
most citedSegmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)

14 citations · 18 across the 4 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

physics.med-ph2022★ 4 cited

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients

Fereshteh Yousefirizi, Isaac Shiri, Joo Hyun O +9

The time-consuming task of manual segmentation challenges routine systematic quantification of disease burden. Convolutional neural networks (CNNs) hold significant promise to reli…

cs.CV2022

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features

Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour +9

Radiomics features extract quantitative information from medical images, towards the derivation of biomarkers for clinical tasks, such as diagnosis, prognosis, or treatment respons…