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Russell T. Shinohara
Russell Taki Shinohara – Russell Takeshi Shinohara
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2024
- [j28]Kevin Xie
, William K. S. Ojemann
Disparities in seizure outcomes revealed by large language models. J. Am. Medical Informatics Assoc. 31(6): 1348-1355 (2024) - [j27]Andrew A. Chen
PARE: A framework for removal of confounding effects from any distance-based dimension reduction method. PLoS Comput. Biol. 20(7): 1012241 (2024) - [i14]Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - [i13]Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Anna Zapaishchykova, Julija Pavaine, Lubdha M. Shah, Blaise V. Jones, Nakul Sheth, Sanjay P. Prabhu, Aaron S. McAllister, Wenxin Tu, Khanak K. Nandolia, Andres Felipe Rodriguez, Ibraheem Salman Shaikh, Mariana Sanchez-Montano, Hollie Anne Lai, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Hannah Anderson, Syed Muhammed Anwar, Alejandro Aristizabal, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, James A. Eddy, Ivan Ezhov, Ariana M. Familiar, Keyvan Farahani, Deep Gandhi, Anurag Gottipati, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Elaine, Alexandros Karargyris, Hasan Kassem, Neda Khalili, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Sarthak Pati, Marie Piraud, Tina Poussaint, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Micah J. Sheller, Russell Takeshi Shinohara, Karthik Viswanathan, Chunhao Wang, Benedikt Wiestler, Walter F. Wiggins, Christos Davatzikos, Phillip B. Storm, Miriam Bornhorst, Roger J. Packer, Trent Hummel, Peter de Blank, Lindsey Hoffman, Mariam Aboian, Ali Nabavizadeh, Jeffrey B. Ware, Benjamin H. Kann, Brian Rood, Adam C. Resnick, Spyridon Bakas, Arastoo Vossough, Marius George Linguraru:
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. CoRR abs/2407.08855 (2024) - 2023
- [j26]Chenying Zhao, Tinashe M. Tapera, Joëlle Bagautdinova, Josiane Bourque, Sydney Covitz, Raquel E. Gur, Ruben C. Gur, Bart Larsen
ModelArray: An R package for statistical analysis of fixel-wise data. NeuroImage 271: 120037 (2023) - [j25]Fengling Hu
Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. NeuroImage 274: 120125 (2023) - [c16]Hannah Horng
MultiComBat: ComBat harmonization of multiple batch variables. Computer-Aided Diagnosis 2023 - [c15]Chunrui Zou
A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images. Computer-Aided Diagnosis 2023 - [c14]Jan Gertheiss, Russell T. Shinohara:
Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and Health. SDM 2023: 532-540 - [i12]Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully F. Chen
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR abs/2305.07642 (2023) - [i11]Florian Kofler, Felix Meissen, Felix Steinbauer
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i10]Hongwei Bran Li, Gian Marco Conte, Syed Muhammad Anwar, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR abs/2305.09011 (2023) - [i9]Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Syed Muhammad Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2305.17033 (2023) - [i8]Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi, Oluyemisi Toyobo, Raymond Confidence, Dong Zhang, Olubukola Omidiji, Rachel Akinola, Mohammad Abba Suwaid, Adaobi Emegoakor, Nancy Ojo, Kenneth Aguh, Chinasa Kalaiwo, Gabriel Babatunde, Afolabi Ogunleye, Yewande Gbadamosi, Kator Iorpagher, Evan Calabrese, Mariam Aboian, Marius George Linguraru, Jake Albrecht, Benedikt Wiestler, Florian Kofler, Anastasia Janas, Dominic LaBella, Anahita Fathi Kazerooni, Hongwei Bran Li, Juan Eugenio Iglesias, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Koen Van Leemput, Christina Bukas, Marie Piraud, Gian Marco Conte, Elaine Johanson, Zeke Meier, Bjoern H. Menze, Ujjwal Baid, Spyridon Bakas, Farouk Dako, Abiodun Fatade, Udunna Anazodo:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). CoRR abs/2305.19369 (2023) - 2022
- [j24]Junhao Wen
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75: 102304 (2022) - [j23]Andrew A. Chen
Privacy-preserving harmonization via distributed ComBat. NeuroImage 248: 118822 (2022) - [j22]Andrew Y. Revell
A framework For brain atlases: Lessons from seizure dynamics. NeuroImage 254: 118986 (2022) - [j21]Andrew A. Chen
Harmonizing functional connectivity reduces scanner effects in community detection. NeuroImage 256: 119198 (2022) - [j20]Sydney Covitz
Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets. NeuroImage 263: 119609 (2022) - [j19]Sara Weinstein
Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence. NeuroImage 264: 119712 (2022) - [c13]Hannah Horng
Iterative ComBat methods for harmonization of radiomic features. Computer-Aided Diagnosis 2022 - [c12]Apurva Singh, Hannah Horng
Resampling and harmonization for mitigation of heterogeneity in imaging parameters: a comparative study. Computer-Aided Diagnosis 2022 - [i7]Francesco La Rosa, Maxence Wynen, Omar Al-Louzi, Erin S. Beck, Till Huelnhagen, Pietro Maggi, Jean-Philippe Thiran, Tobias Kober, Russell T. Shinohara, Pascal Sati
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. CoRR abs/2201.07463 (2022) - 2021
- [j18]Arkaprava Roy
Spatial Shrinkage Via the Product Independent Gaussian Process Prior. J. Comput. Graph. Stat. 30(4): 1068-1080 (2021) - [c11]José Marcio Luna, Andrew R. Barsky, Russell T. Shinohara, Alexandra D. Dreyfuss, Leonid Roshkovan
Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation. Computer-Aided Diagnosis 2021 - [i6]Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab
The Federated Tumor Segmentation (FeTS) Challenge. CoRR abs/2105.05874 (2021) - [i5]Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James A. Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas:
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR abs/2107.02314 (2021) - 2020
- [j17]Ari M. Fish, Ajay Nadig, Jakob Seidlitz, Paul K. Reardon, Catherine Mankiw, Cassidy L. McDermott, Jonathan D. Blumenthal, Liv S. Clasen, François Lalonde, Jason P. Lerch
Sex-biased trajectories of amygdalo-hippocampal morphology change over human development. NeuroImage 204 (2020) - [j16]Joaquim Radua
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA. NeuroImage 218: 116956 (2020) - [j15]Joanne C. Beer
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data. NeuroImage 220: 117129 (2020) - [c10]Spyridon Bakas, Gaurav Shukla, Hamed Akbari
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Image-Guided Procedures 2020: 113151S - [i4]Jordan D. Dworkin, Kristin A. Linn, Erin G. Teich, Perry Zurn, Russell T. Shinohara, Danielle S. Bassett:
The extent and drivers of gender imbalance in neuroscience reference lists. CoRR abs/2001.01002 (2020)
2010 – 2019
- 2019
- [c9]Sarthak Pati
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 2019: 380-394 - [c8]Huahong Zhang, Alessandra M. Valcarcel, Rohit Bakshi, Renxin Chu, Francesca Bagnato, Russell T. Shinohara, Kilian Hett, Ipek Oguz:
Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices. MICCAI (3) 2019: 338-346 - 2018
- [j14]Jean-Philippe Fortin, Nicholas C. Cullen, Yvette I. Sheline
Harmonization of cortical thickness measurements across scanners and sites. NeuroImage 167: 104-120 (2018) - [j13]Adon F. G. Rosen, David R. Roalf, Kosha Ruparel, Jason Blake
Quantitative assessment of structural image quality. NeuroImage 169: 407-418 (2018) - [j12]Aaron Alexander-Bloch
On testing for spatial correspondence between maps of human brain structure and function. NeuroImage 178: 540-551 (2018) - [j11]Jordan D. Dworkin
The landscape of NeuroImage-ing research. NeuroImage 183: 872-883 (2018) - [c7]Alessandra M. Valcarcel, Kristin A. Linn, Fariha Khalid, Simon N. Vandekar, Shahamat Tauhid, Theodore D. Satterthwaite, John Muschelli, Rohit Bakshi, Russell T. Shinohara:
MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis. BrainLes@MICCAI (1) 2018: 47-56 - [i3]Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett:
The emergent integrated network structure of scientific research. CoRR abs/1804.06434 (2018) - [i2]Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett:
The landscape of NeuroImage-ing research. CoRR abs/1806.03211 (2018) - [i1]Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- [j10]Rastko Ciric
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. NeuroImage 154: 174-187 (2017) - [j9]Jean-Philippe Fortin, Drew Parker, Birkan Tunç, Takanori Watanabe, Mark A. Elliott, Kosha Ruparel, David R. Roalf, Theodore D. Satterthwaite, Ruben C. Gur, Raquel E. Gur, Robert T. Schultz, Ragini Verma, Russell T. Shinohara:
Harmonization of multi-site diffusion tensor imaging data. NeuroImage 161: 149-170 (2017) - [c6]Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. BrainLes@MICCAI 2017: 3-14 - [c5]Greg M. Fleishman
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI 2017: 43-54 - [c4]Mengjin Dong, Ipek Oguz, Nagesh Subbana, Peter A. Calabresi
Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion. Patch-MI@MICCAI 2017: 138-145 - [c3]Baris U. Oguz, Russell T. Shinohara, Paul A. Yushkevich
Gradient Boosted Trees for Corrective Learning. MLMI@MICCAI 2017: 203-211 - 2016
- [j8]Kristin A. Linn, Bilwaj Gaonkar, Theodore D. Satterthwaite
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine. NeuroImage 132: 157-166 (2016) - [j7]Jean-Philippe Fortin, Elizabeth M. Sweeney, John Muschelli, Ciprian M. Crainiceanu, Russell T. Shinohara:
Removing inter-subject technical variability in magnetic resonance imaging studies. NeuroImage 132: 198-212 (2016) - [j6]Simon N. Vandekar, Russell T. Shinohara, Armin Raznahan
Subject-level measurement of local cortical coupling. NeuroImage 133: 88-97 (2016) - [j5]Amanda F. Mejia, Elizabeth M. Sweeney, Blake Dewey
Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging. NeuroImage 133: 176-188 (2016) - [j4]Anisha Keshavan
Power estimation for non-standardized multisite studies. NeuroImage 134: 281-294 (2016) - [j3]Ke Zeng, Güray Erus, Aristeidis Sotiras
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition. IEEE Trans. Medical Imaging 35(8): 1937-1951 (2016) - 2015
- [j2]Bilwaj Gaonkar, Russell T. Shinohara, Christos Davatzikos
Interpreting support vector machine models for multivariate group wise analysis in neuroimaging. Medical Image Anal. 24(1): 190-204 (2015) - 2014
- [c2]Dongjin Kwon, Russell T. Shinohara, Hamed Akbari
Combining Generative Models for Multifocal Glioma Segmentation and Registration. MICCAI (1) 2014: 763-770 - 2013
- [c1]Russell T. Shinohara, Ciprian S. Crainiceanu, Brian S. Caffo, Daniel S. Reich:
Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. PRNI 2013: 37-41 - 2011
- [j1]Russell T. Shinohara, Ciprian M. Crainiceanu, Brian S. Caffo, María Inés Gaitán, Daniel S. Reich:
Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. NeuroImage 57(4): 1430-1446 (2011)
Coauthor Index
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last updated on 2024-12-08 01:30 CET by the dblp team
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