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Pamela LaMontagne
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- affiliation: Washington University in St Louis School of Medicine, MO, USA
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2020 – today
- 2023
- [c3]Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras:
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. Computer-Aided Diagnosis 2023 - [d1]Aaron Oliver-Taylor, Adam Li, Adam G. Thomas
, Adeen Flinker
bids-specification. Zenodo, 2023 - [i6]Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - [i5]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) - [i4]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) - 2022
- [j4]Pierrick Bourgeat
β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3. NeuroImage 262: 119527 (2022) - [i3]Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus:
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). CoRR abs/2210.03151 (2022) - [i2]Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras:
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. CoRR abs/2210.03779 (2022) - 2021
- [c2]Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford Robinson
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. Image Processing 2021 - 2020
- [j3]Siddhesh P. Thakur, Jimit Doshi
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. NeuroImage 220: 117081 (2020) - [c1]Mikhail Milchenko, Pamela LaMontagne, Daniel S. Marcus:
Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults. Computer-Aided Diagnosis 2020
2010 – 2019
- 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) - 2016
- [j2]Mikhail Milchenko, Abraham Z. Snyder, Pamela LaMontagne
Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research. Neuroinformatics 14(3): 305-317 (2016)
2000 – 2009
- 2003
- [j1]Peter De Weerd, Karen Reinke, Lee Ryan, T. McIsaac, Pamela Perschler
Cortical mechanisms for acquisition and performance of bimanual motor sequences. NeuroImage 19(4): 1405-1416 (2003)
Coauthor Index
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