Linde S. Hesse

According to our database, Linde S. Hesse authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation.

Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete

Medical Image Anal., 2024

Prototype Learning for Explainable Brain Age Prediction.

Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Prototype Learning for Explainable Regression.

Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete

CoRR, 2023

2022

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning.

Linde S. Hesse, Moska Aliasi, Felipe Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, Ana I. L. Namburete

NeuroImage, 2022

INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples.

Linde S. Hesse, Ana I. L. Namburete

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols.

Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel

IEEE Trans. Biomed. Eng., 2021

ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation.

Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete

CoRR, 2021

Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound.

Madeleine K. Wyburd, Linde S. Hesse, Moska Aliasi, Mark Jenkinson, Aris T. Papageorghiou, Monique C. Haak, Ana I. L. Namburete

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning.

Linde S. Hesse, Pim A. de Jong, Josien P. W. Pluim, Veronika Cheplygina

CoRR, 2020

Improving U-Net Segmentation with Active Contour Based Label Correction.

Linde S. Hesse, Ana I. L. Namburete

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

2019

Intensity augmentation for domain transfer of whole breast segmentation in MRI.

Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel

CoRR, 2019