Albert Montillo

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 29

Top Topics

Convolutional Neural Networks

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

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 (2024)
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) (2023)
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 (2023)
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) (2023)
Alex H. Treacher, Albert Montillo
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models. CoRR (2022)
Kevin P. Nguyen, Albert Montillo
Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data. CoRR (2022)
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 (2022)
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) (2022)
Alex Treacher, Prabhat Garg, Elizabeth M. Davenport, Ryan Godwin, Amy 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 (2021)
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)
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)
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)
Vyom Raval, Kevin P. Nguyen, Cooper Mellema, Albert Montillo
Improved motion correction for functional MRI using an omnibus regression model. ISBI (2020)
Son Nguyen, Dogan Polat, Paniz Karbasi, Daniel Moser, Liqiang Wang, Keith Hulsey, Murat Can Çobanoglu, Basak 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)
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 (2019)
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)
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 (2019)
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)
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)
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)
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 (2019)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Xiaofeng Liu, Albert Montillo, Ek T. Tan, John F. Schenck, Paulo R. S. Mendonça
Deformable Atlas for Multi-structure Segmentation. MICCAI (1) (2013)
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)
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)
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)
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)
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)
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)
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)
Albert Montillo, Haibin Ling
Age regression from faces using random forests. ICIP (2009)
Leon Axel, Albert Montillo, Daniel Kim
Tagged magnetic resonance imaging of the heart: a survey. Medical Image Anal. 9 (4) (2005)
Kyoungju Park, Albert Montillo, Dimitris N. Metaxas, Leon Axel
Volumetric heart modeling and analysis. Commun. ACM 48 (2) (2005)
Albert Montillo, Dimitris N. Metaxas, Leon Axel
Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI. MICCAI (1) (2003)
Albert Montillo, Jayaram K. Udupa, Leon Axel, Dimitris N. Metaxas
Interaction between noise suppression and inhomogeneity correction in MRI. Medical Imaging: Image Processing (2003)
Albert Montillo, Dimitris N. Metaxas, Leon Axel
Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. MICCAI (1) (2002)