Bianca S. Gerendas

Orcid: 0000-0001-8940-8130

According to our database1, Bianca S. Gerendas authored at least 23 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.
IEEE J. Biomed. Health Informatics, 2022

Blood vessel segmentation in en-face OCTA images: a frequency based method.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2020
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis., 2020

On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis., 2020

2019
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.
IEEE Trans. Medical Imaging, 2019

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.
IEEE Trans. Medical Imaging, 2019

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.
CoRR, 2019

An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Deep Learning Based Multi-modal Registration for Retinal Imaging.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019

Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images.
CoRR, 2018

2017
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2017

2016
Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease.
Int. J. Biomed. Imaging, 2016

Identifying and Categorizing Anomalies in Retinal Imaging Data.
CoRR, 2016

A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation.
Comput. Methods Programs Biomed., 2016

Improve synthetic retinal OCT images with present of pathologies and textural information.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Geodesic denoising for optical coherence tomography images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014


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