Linde S. Hesse

Orcid: 0000-0001-7594-5445

According to our database1, Linde S. Hesse authored at least 11 papers between 2019 and 2024.

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Bibliography

2024
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation.
Medical Image Anal., 2024

Prototype Learning for Explainable Brain Age Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Prototype Learning for Explainable Regression.
CoRR, 2023

2022
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning.
NeuroImage, 2022

INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples.
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.
IEEE Trans. Biomed. Eng., 2021

ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation.
CoRR, 2021

Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound.
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.
CoRR, 2020

Improving U-Net Segmentation with Active Contour Based Label Correction.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

2019
Intensity augmentation for domain transfer of whole breast segmentation in MRI.
CoRR, 2019


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