Search Results for author: Amber L. Simpson

Found 6 papers, 4 papers with code

Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation

1 code implementation31 Aug 2023 Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson

Although transformers can capture long-range features, their segmentation performance decreases with various tumor sizes due to the model sensitivity to the input patch size.

Segmentation Transfer Learning +1

Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases

no code implementations30 Aug 2023 Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson

Small liver lesions common to colorectal liver metastases (CRLMs) are challenging for convolutional neural network (CNN) segmentation models, especially when we have a wide range of slice thicknesses in the computed tomography (CT) scans.

Computed Tomography (CT) Lesion Segmentation +1

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

1 code implementation7 Jul 2021 Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson

In large studies involving multi protocol Magnetic Resonance Imaging (MRI), it can occur to miss one or more sub-modalities for a given patient owing to poor quality (e. g. imaging artifacts), failed acquisitions, or hallway interrupted imaging examinations.

Brain Tumor Segmentation Segmentation +1

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