Rachel Sparks
Orcid: 0000-0003-1553-7903
According to our database1,
Rachel Sparks
authored at least 43 papers
between 2010 and 2024.
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Collaborative distances:
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Bibliography
2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images.
CoRR, 2024
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography.
CoRR, 2024
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation.
CoRR, 2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024
2023
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies.
Frontiers Neuroinformatics, August, 2022
CoRR, 2022
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022
2021
Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance.
Frontiers Digit. Health, 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.
Comput. Methods Programs Biomed., 2021
Enhancing the estimation of fiber orientation distributions using convolutional neural networks.
Comput. Biol. Medicine, 2021
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections.
Int. J. Comput. Assist. Radiol. Surg., 2021
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation.
Int. J. Comput. Assist. Radiol. Surg., 2021
Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2021
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging.
CoRR, 2020
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
Int. J. Comput. Assist. Radiol. Surg., 2018
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment.
Int. J. Comput. Assist. Radiol. Surg., 2017
Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery.
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2014
Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
Explicit shape descriptors: Novel morphologic features for histopathology classification.
Medical Image Anal., 2013
Statistical shape model for manifold regularization: Gleason grading of prostate histology.
Comput. Vis. Image Underst., 2013
Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010
Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
An integrated framework for analyzing three-dimensional shape differences: evaluating prostate morphometry.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010