Rachel Sparks

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Magnetic Resonance

Spatially Aware

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Medical Imaging: Image Processing

Publications

Ze Chen, Gongyu Zhang, Jiayu Huo, Joan M. Nunez Do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sébastien Ourselin, Christos Bergeles, Timothy Jackson
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images. CoRR (2024)
Jiayu Huo, Sébastien Ourselin, Rachel Sparks
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images. CoRR (2024)
Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks
Generative Medical Segmentation. CoRR (2024)
Ruiqiang Xiao, Jiayu Huo, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks
MatchSeg: Towards Better Segmentation via Reference Image Matching. CoRR (2024)
Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Juanita Puentes, Pablo Arbelaez, Omid Mohareri, Danail Stoyanov
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. CoRR (2024)
Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography. CoRR (2024)
Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation. CoRR (2024)
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition. ICCV (2023)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. MLMI@MICCAI (2) (2023)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance. CoRR (2023)
Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. CoRR (2022)
Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. SASHIMI@MICCAI (2022)
Fernando Pérez-García, Ali Alim-Marvasti, Gloria Romagnoli, Matthew J. Clarkson, Rachel Sparks, John S. Duncan, Sébastien Ourselin
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies. Frontiers Neuroinformatics 16 (2022)
Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation. CoRR (2022)
Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures. CoRR (2021)
Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures. MICCAI (5) (2021)
Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin
Enhancing the estimation of fiber orientation distributions using convolutional neural networks. Comput. Biol. Medicine 135 (2021)
Alejandro Granados, Fernando Pérez-García, Martin Schweiger, Vejay Vakharia, Sjoerd B. Vos, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation. Int. J. Comput. Assist. Radiol. Surg. 16 (1) (2021)
Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. CoRR (2021)
Ali Alim-Marvasti, Fernando Pérez-García, Karan Dahele, Gloria Romagnoli, Beate Diehl, Rachel Sparks, Sébastien Ourselin, Matthew J. Clarkson, John S. Duncan
Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance. Frontiers Digit. Health 3 (2021)
Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. Int. J. Comput. Assist. Radiol. Surg. 16 (10) (2021)
Alejandro Granados, Yuxuan Han, Oeslle Lucena, Vejay Vakharia, Roman Rodionov, Sjoerd B. Vos, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin
Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning. Int. J. Comput. Assist. Radiol. Surg. 16 (5) (2021)
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. Comput. Methods Programs Biomed. 208 (2021)
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. CoRR (2020)
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin
Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning. CoRR (2020)
Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin
Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging. CoRR (2020)
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning. MICCAI (3) (2020)
Alejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. ISBI (2020)
Alejandro Granados, Martin Schweiger, Vejay Vakharia, Andrew W. McEvoy, Anna Miserocchi, John S. Duncan, Rachel Sparks, Sébastien Ourselin
A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation. MICCAI (5) (2019)
Alejandro Granados, Matteo Mancini, Sjoerd B. Vos, Oeslle Lucena, Vejay Vakharia, Roman Rodionov, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. MICCAI (4) (2018)
Alejandro Granados, Vejay Vakharia, Roman Rodionov, Martin Schweiger, Sjoerd B. Vos, Aidan G. O'Keeffe, Kuo Li, Chengyuan Wu, Anna Miserocchi, Andrew W. McEvoy, Matthew J. Clarkson, John S. Duncan, Rachel Sparks, Sébastien Ourselin
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending. Int. J. Comput. Assist. Radiol. Surg. 13 (6) (2018)
Rachel Sparks, Gergely Zombori, Roman Rodionov, Mark Nowell, Sjoerd B. Vos, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment. Int. J. Comput. Assist. Radiol. Surg. 12 (1) (2017)
Rachel Sparks, Vejay Vakharia, Roman Rodionov, Sjoerd B. Vos, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery. Int. J. Comput. Assist. Radiol. Surg. 12 (8) (2017)
Rachel Sparks, Gergely Zombori, Roman Rodionov, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation. MICCAI (1) (2016)
Mahdi Orooji, Rachel Sparks, B. Nicolas Bloch, Ernest J. Feleppa, Dean C. Barratt, Anant Madabhushi
Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation. Medical Imaging: Image Processing (2014)
Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John E. Tomaszeweski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Medical Imaging: Image Processing (2014)
Rachel Sparks, Anant Madabhushi
Explicit shape descriptors: Novel morphologic features for histopathology classification. Medical Image Anal. 17 (8) (2013)
Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Medical Imaging: Digital Pathology (2013)
Rachel Sparks, B. Nicolas Bloch, Ernest J. Feleppa, Dean C. Barratt, Anant Madabhushi
Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric. Medical Imaging: Image-Guided Procedures (2013)
Eileen Hwuang, Shabbar Danish, Mirabela Rusu, Rachel Sparks, Robert Toth, Anant Madabhushi
Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation. EMBC (2013)
Rachel Sparks, Anant Madabhushi
Statistical shape model for manifold regularization: Gleason grading of prostate histology. Comput. Vis. Image Underst. 117 (9) (2013)
George Lee, Rachel Sparks, Sahirzeeshan Ali, Anant Madabhushi, Michael D. Feldman, Stephen R. Master, Natalie Shih, John Tomaszewski
Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. ISBI (2013)
Rachel Sparks, Anant Madabhushi
Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds. Medical Imaging: Computer-Aided Diagnosis (2012)
Robert Toth, Rachel Sparks, Anant Madabhushi
Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI. ISBI (2011)
Rachel Sparks, Anant Madabhushi
Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology. Medical Imaging: Image Processing (2011)
Rachel Sparks, Anant Madabhushi
Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading. ISBI (2011)
Rachel Sparks, Anant Madabhushi
Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning. MICCAI (3) (2010)
Rachel Sparks, Robert Toth, Jonathan Chappelow, Gaoyu Xiao, Anant Madabhushi
An integrated framework for analyzing three-dimensional shape differences: evaluating prostate morphometry. ISBI (2010)
Jun Xu, Rachel Sparks, Andrew Janowczyk, John E. Tomaszewski, Michael D. Feldman, Anant Madabhushi
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging (2010)