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2020 – today
- 2024
[i8]Elodie Germani, Nikhil Baghwat, Mathieu Dugré, Rémi Gau, Albert Montillo, Kevin P. Nguyen
, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard:
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study. CoRR abs/2403.15405 (2024)- 2023
- [j6]Kevin P. Nguyen, Vyom Raval, Abu Minhajuddin, Thomas Carmody, Madhukar H. Trivedi, Richard B. Dewey, Albert Montillo:
BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping. Brain Connect. 13(2): 80-88 (2023) - [j5]Kevin P. Nguyen, Alex H. Treacher, Albert Montillo:
Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8081-8093 (2023) - [i7]Adam Wang, Son Nguyen, Albert Montillo:
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data. CoRR abs/2310.03146 (2023) - 2022
- [j4]Vyom Raval, Kevin P. Nguyen, Marco Pinho, Richard B. Dewey Jr., Madhukar H. Trivedi, Albert Montillo:
Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI. Neuroinformatics 20(4): 879-896 (2022) - [i6]Kevin P. Nguyen, Albert Montillo:
Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data. CoRR abs/2202.11783 (2022) - [i5]Alex H. Treacher, Albert Montillo:
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models. CoRR abs/2202.11841 (2022) - [i4]Alex Treacher, Kevin P. Nguyen, Dylan Owens, Daniel Heitjan, Albert Montillo:
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data. CoRR abs/2211.15888 (2022) - 2021
- [j3]Alex Treacher, Prabhat Garg, Elizabeth M. Davenport, Ryan Godwin, Amy L. Proskovec, Leonardo Guimaraes Bezerra, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. NeuroImage 241: 118402 (2021) - 2020
- [c34]Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey, Albert Montillo:
Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability. ICASSP 2020: 1319-1323 - [c33]Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo:
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. ISBI 2020: 1022-1025 - [c32]Vyom Raval, Kevin P. Nguyen, Cooper Mellema, Albert Montillo:
Improved motion correction for functional MRI using an omnibus regression model. ISBI 2020: 1044-1047 - [c31]Son Nguyen, Dogan Polat, Paniz Karbasi, Daniel Moser, Liqiang Wang, Keith Hulsey, Murat Can Çobanoglu, Basak E. Dogan, Albert Montillo:
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN. MICCAI (2) 2020: 326-334 - [c30]Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Anatomically informed data augmentation for functional MRI with applications to deep learning. Medical Imaging: Image Processing 2020: 113130T
2010 – 2019
- 2019
- [c29]Kevin P. Nguyen, Cherise Chin Fatt, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions. ISBI 2019: 1581-1584 - [c28]Cooper Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo:
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri. ISBI 2019: 1891-1895 - [c27]Alex Treacher, Daniel Beauchamp, Bilal Quadri, David Fetzer, Abhinav Vij, Takeshi Yokoo, Albert Montillo:
Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture. Medical Imaging: Computer-Aided Diagnosis 2019: 109503E - [c26]Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI. PRIME@MICCAI 2019: 53-62 - [i3]Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning. CoRR abs/1910.08112 (2019) - [i2]Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey Jr., Albert Montillo:
Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability. CoRR abs/1911.10227 (2019) - [i1]Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo:
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. CoRR abs/1911.11024 (2019) - 2018
- [c25]Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang:
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. BI 2018: 163-172 - [c24]Gowtham Krishnan Murugesan, Behrouz Saghafi, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alex Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players. Medical Imaging: Computer-Aided Diagnosis 2018: 105750F - [c23]Behrouz Saghafi, Gowtham Murugesan, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Alexander Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2018: 105750E - 2017
- [c22]Gowtham Murugesan, Afarin Famili, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. ISBI 2017: 464-467 - [c21]Afarin Famili, Gowtham Krishnan Murugesan, Elizabeth M. Davenport, James Germi, Benjamin C. Wagner, Bradley Lega, Albert Montillo:
Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy. ISBI 2017: 587-590 - [c20]Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo:
Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. DLMIA/ML-CDS@MICCAI 2017: 151-159 - [c19]Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo:
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. MICCAI (3) 2017: 374-381 - [c18]Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo:
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography. PRNI 2017: 1-4 - [e5]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - 2016
- [e4]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9601, Springer 2016, ISBN 978-3-319-42015-8 [contents] - 2015
- [c17]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas:
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI 2015: 3-9 - [c16]Albert Montillo, Qi Song, Bipul Das, Zhye Yin:
Hierarchical pictorial structures for simultaneously localizing multiple organs in volumetric pre-scan CT. Medical Imaging: Image Processing 2015: 94130T - 2014
- [c15]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). MCV 2014: 3-10 - [e3]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Zhuowen Tu:
Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8331, Springer 2014, ISBN 978-3-319-05529-9 [contents] - [e2]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8848, Springer 2014, ISBN 978-3-319-13971-5 [contents] - 2013
- [c14]Anthony C. Bianchi, James V. Miller, Ek Tsoon Tan, Albert Montillo:
Brain tumor segmentation with symmetric texture and symmetric intensity-based decision forests. ISBI 2013: 748-751 - [c13]Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo:
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer'S disease. ISBI 2013: 1202-1205 - [c12]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jiménez del Toro:
Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). MCV 2013: 3-10 - [c11]Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo:
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas. MCV 2013: 65-73 - [c10]Qi Song, Albert Montillo, Roshni R. Bhagalia, V. Srikrishnan:
Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models. MCV 2013: 138-147 - [c9]Xiaofeng Liu, Albert Montillo, Ek T. Tan, John F. Schenck, Paulo R. S. Mendonça:
Deformable Atlas for Multi-structure Segmentation. MICCAI (1) 2013: 743-750 - [c8]Albert Montillo, Qi Song, Xiaoming Liu, James V. Miller:
Parsing radiographs by integrating landmark set detection and multi-object active appearance models. Medical Imaging: Image Processing 2013: 86690H - [c7]Xiaofeng Liu, Albert Montillo, Ek T. Tan, John F. Schenck:
iSTAPLE: improved label fusion for segmentation by combining STAPLE with image intensity. Medical Imaging: Image Processing 2013: 86692O - [e1]Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7766, Springer 2013, ISBN 978-3-642-36619-2 [contents] - 2011
- [c6]Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI 2011: 25-36 - [c5]Albert Montillo, Jamie Shotton, John M. Winn, Juan Eugenio Iglesias, Dimitris N. Metaxas, Antonio Criminisi:
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. IPMI 2011: 184-196
2000 – 2009
- 2009
- [c4]Albert Montillo, Haibin Ling:
Age regression from faces using random forests. ICIP 2009: 2465-2468 - 2005
- [j2]Kyoungju Park, Albert Montillo, Dimitris N. Metaxas, Leon Axel:
Volumetric heart modeling and analysis. Commun. ACM 48(2): 43-48 (2005) - [j1]Leon Axel, Albert Montillo, Daniel Kim:
Tagged magnetic resonance imaging of the heart: a survey. Medical Image Anal. 9(4): 376-393 (2005) - 2003
- [c3]Albert Montillo, Dimitris N. Metaxas, Leon Axel:
Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI. MICCAI (1) 2003: 507-515 - [c2]Albert Montillo, Jayaram K. Udupa, Leon Axel, Dimitris N. Metaxas:
Interaction between noise suppression and inhomogeneity correction in MRI. Medical Imaging: Image Processing 2003 - 2002
- [c1]Albert Montillo, Dimitris N. Metaxas, Leon Axel:
Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. MICCAI (1) 2002: 620-633
Coauthor Index
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