Rachel Sparks

60 papers A* 2B 3Journal 32Unranked 23
YearRankTypeTitle / Venue / Authors
2025 A* conf
Generative Medical Segmentation.
AAAI
Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks
2025 — conf
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow.
MICCAI (9)
Yang Liu, Peiran Wu, Jiayu Huo, Gongyu Zhang, Zhen Yuan, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2025 J jnl
RetiGen: Framework leveraging domain generalization and test-time adaptation for multi-view retinal diagnostics.
Comput. Biol. Medicine
Gongyu Zhang, Ze Chen, Jiayu Huo, Joan M. Nunez Do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sébastien Ourselin, Christos Bergeles, Timothy Jackson
2025 — conf
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation.
ISBI
Jiayu Huo, Sébastien Ourselin, Rachel Sparks
2025 J jnl
Self-supervised brain lesion generation for effective data augmentation of medical images.
Neural Networks
Jiayu Huo, Sébastien Ourselin, Rachel Sparks
2024 J jnl
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR
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
2024 — conf
DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography.
MLMI@MICCAI (1)
Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography.
CoRR
Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
Deep Learning-Based Classification of Hyperkinetic Movement Disorders in Children.
CoRR
Nandika Ramamurthy, Daniel Lumsden, Rachel Sparks
2024 J jnl
Generative Medical Segmentation.
CoRR
Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks
2024 — conf
MatchSeg: Towards Better Segmentation via Reference Image Matching.
BIBM
Jiayu Huo, Ruiqiang Xiao, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks
2024 J jnl
MatchSeg: Towards Better Segmentation via Reference Image Matching.
CoRR
Ruiqiang Xiao, Jiayu Huo, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks
2024 J jnl
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation.
CoRR
Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images.
CoRR
Ze Chen, Gongyu Zhang, Jiayu Huo, Joan M. Nunez Do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sébastien Ourselin, Christos Bergeles, Timothy Jackson
2024 J jnl
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation.
CoRR
Jiayu Huo, Sébastien Ourselin, Rachel Sparks
2024 J jnl
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR
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, Alexandre 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 Arbeláez, Omid Mohareri, Danail Stoyanov
2024 J jnl
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images.
CoRR
Jiayu Huo, Sébastien Ourselin, Rachel Sparks
2023 — conf
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance.
MLMI@MICCAI (2)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2023 J jnl
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance.
CoRR
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2023 A* conf
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition.
ICCV
Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2023 — conf
Unleash the Power of 2D Pre-trained Model for 3D T1-weighted Brain MRI Inpainting.
BraTS/CrossMoDA@MICCAI
Jiayu Huo, Chih-Yang Li, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2022 — conf
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder.
SASHIMI@MICCAI
Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks
2022 J jnl
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder.
CoRR
Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks
2022 J jnl
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation.
CoRR
Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2022 J jnl
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies.
Frontiers Neuroinformatics
Fernando Pérez-García, Ali Alim-Marvasti, Gloria Romagnoli, Matthew J. Clarkson, Rachel Sparks, John S. Duncan, Sébastien Ourselin
2021 J jnl
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation.
Int. J. Comput. Assist. Radiol. Surg.
Alejandro Granados, Fernando Pérez-García, Martin Schweiger, Vejay Vakharia, Sjoerd B. Vos, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2021 J jnl
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections.
Int. J. Comput. Assist. Radiol. Surg.
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
2021 J jnl
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections.
CoRR
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
2021 J jnl
Enhancing the estimation of fiber orientation distributions using convolutional neural networks.
Comput. Biol. Medicine
Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin
2021 J jnl
Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance.
Frontiers Digit. Health
Ali Alim-Marvasti, Fernando Pérez-García, Karan Dahele, Gloria Romagnoli, Beate Diehl, Rachel Sparks, Sébastien Ourselin, Matthew J. Clarkson, John S. Duncan
2021 J jnl
Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning.
Int. J. Comput. Assist. Radiol. Surg.
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
2021 J jnl
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.
Comput. Methods Programs Biomed.
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
2021 — conf
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures.
MICCAI (5)
Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin
2021 J jnl
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures.
CoRR
Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin
2020 J jnl
Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning.
CoRR
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin
2020 — conf
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning.
MICCAI (3)
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin
2020 J jnl
TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.
CoRR
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
2020 — conf
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery.
ISBI
Alejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2020 J jnl
Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging.
CoRR
Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin
2019 — conf
A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation.
MICCAI (5)
Alejandro Granados, Martin Schweiger, Vejay Vakharia, Andrew W. McEvoy, Anna Miserocchi, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2018 — conf
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery.
MICCAI (4)
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
2018 J jnl
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
Int. J. Comput. Assist. Radiol. Surg.
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
2017 J jnl
Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery.
Int. J. Comput. Assist. Radiol. Surg.
Rachel Sparks, Vejay Vakharia, Roman Rodionov, Sjoerd B. Vos, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
2017 J jnl
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment.
Int. J. Comput. Assist. Radiol. Surg.
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
2016 — conf
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation.
MICCAI (1)
Rachel Sparks, Gergely Zombori, Roman Rodionov, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
2014 B conf
Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation.
Image Processing
Mahdi Orooji, Rachel Sparks, B. Nicolas Bloch, Ernest J. Feleppa, Dean C. Barratt, Anant Madabhushi
2014 B conf
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Image Processing
Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013 — conf
Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.
EMBC
Eileen Hwuang, Shabbar Danish, Mirabela Rusu, Rachel Sparks, Robert Toth, Anant Madabhushi
2013 — conf
Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer.
ISBI
George Lee, Rachel Sparks, Sahirzeeshan Ali, Anant Madabhushi, Michael D. Feldman, Stephen R. Master, Natalie Shih, John Tomaszewski
2013 J jnl
Explicit shape descriptors: Novel morphologic features for histopathology classification.
Medical Image Anal.
Rachel Sparks, Anant Madabhushi
2013 — conf
Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric.
Image-Guided Procedures
Rachel Sparks, B. Nicolas Bloch, Ernest J. Feleppa, Dean C. Barratt, Anant Madabhushi
2013 — conf
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Digital Pathology
Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013 J jnl
Statistical shape model for manifold regularization: Gleason grading of prostate histology.
Comput. Vis. Image Underst.
Rachel Sparks, Anant Madabhushi
2012 — conf
Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds.
Computer-Aided Diagnosis
Rachel Sparks, Anant Madabhushi
2011 B conf
Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology.
Image Processing
Rachel Sparks, Anant Madabhushi
2011 — conf
Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI.
ISBI
Robert Toth, Rachel Sparks, Anant Madabhushi
2011 — conf
Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading.
ISBI
Rachel Sparks, Anant Madabhushi
2010 — conf
An integrated framework for analyzing three-dimensional shape differences: evaluating prostate morphometry.
ISBI
Rachel Sparks, Robert Toth, Jonathan Chappelow, Gaoyu Xiao, Anant Madabhushi
2010 — conf
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Prostate Cancer Imaging
Jun Xu, Rachel Sparks, Andrew Janowczyk, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
2010 — conf
Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning.
MICCAI (3)
Rachel Sparks, Anant Madabhushi