1 code implementation • 16 Apr 2024 • Deepa Krishnaswamy, Bálint Kovács, Stefan Denner, Steve Pieper, David Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov
With the wealth of medical image data, efficient curation is essential.
no code implementations • 22 Mar 2024 • Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov
Our approach shows comparable results compared to fully-supervised segmentation methods trained on MR data.
1 code implementation • 18 May 2023 • Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sebastien Ourselin, M. Jorge Cardoso
Automatic segmentation of medical images is a key step for diagnostic and interventional tasks.
1 code implementation • 10 May 2023 • Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn
We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique for treating various brain disorders and mental health diseases.
1 code implementation • 16 Mar 2023 • Daniela P. Schacherer, Markus D. Herrmann, David A. Clunie, Henning Höfener, William Clifford, William J. R. Longabaugh, Steve Pieper, Ron Kikinis, Andrey Fedorov, André Homeyer
Conclusions: We conclude that the IDC facilitates approaching the reproducibility limit of CompPath research (i) by enabling researchers to reuse exactly the same datasets and (ii) by integrating with cloud ML services so that experiments can be run in identically configured computing environments.
no code implementations • 13 Oct 2022 • Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin-Karayumak, Steve Pieper, William M. Wells, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell
We propose a novel deep regression method, namely TractoSCR, that allows full supervision for contrastive learning in regression tasks using diffusion MRI tractography.
2 code implementations • 18 May 2022 • Chris Gorman, Davide Punzo, Igor Octaviano, Steve Pieper, William J. R. Longabaugh, David A. Clunie, Ron Kikinis, Andrey Y. Fedorov, Markus D. Herrmann
The exchange of large and complex slide microscopy imaging data in biomedical research and pathology practice is impeded by a lack of data standardization and interoperability, which is detrimental to the reproducibility of scientific findings and clinical integration of technological innovations.
no code implementations • 8 Feb 2022 • Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William Wells III, Lauren J. O'Donnell
The human brain's white matter (WM) structure is of immense interest to the scientific community.
1 code implementation • 16 May 2020 • Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin-Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis.
1 code implementation • 26 Apr 2020 • Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi
Fiber tracking produces large tractography datasets that are tens of gigabytes in size consisting of millions of streamlines.
no code implementations • 31 Dec 2018 • Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
This paper establishes an information theoretic framework for deep metric based image registration techniques.
2 code implementations • 16 Jul 2018 • Michael Schwier, Joost van Griethuysen, Mark G Vangel, Steve Pieper, Sharon Peled, Clare M. Tempany, Hugo JWL Aerts, Ron Kikinis, Fiona M Fennessy, Andrey Fedorov
In this study we assessed the repeatability of the values of radiomics features for small prostate tumors using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI) images.
no code implementations • 4 Apr 2018 • Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
In this paper, we propose a strategy for learning such metrics from roughly aligned training data.
no code implementations • 20 Mar 2018 • Jie Luo, Matt Toews, Ines Machado, Sarah Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra Golby, Masashi Sugiyama, William M. Wells III
Kernels of the GP are estimated by using variograms and a discrete grid search method.
no code implementations • 18 May 2017 • Andre Mastmeyer, Guillaume Pernelle, Lauren Barber, Steve Pieper, Dirk Fortmeier, Sandy Wells, Heinz Handels, Tina Kapur
Accurate and reliable segmentation of catheters in MR-guided interventions remains a challenge, and a step of critical importance in clinical workflows.