Albert Montillo

54 papers B 6Misc 1Journal 15Unranked 27

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Mixed Effects Deep Learning for the interpretable analysis of single cell RNA sequencing data by quantifying and visualizing batch effects. CoRR Aixa X. Andrade, Son Nguyen, Albert Montillo
2024	J	`jnl`	Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study. CoRR Elodie Germani, Nikhil Baghwat, Mathieu Dugré, Rémi Gau, Albert Montillo, Kevin P. Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard
2023	J	`jnl`	Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data. IEEE Trans. Pattern Anal. Mach. Intell. Kevin P. Nguyen, Alex H. Treacher, Albert Montillo
2023	J	`jnl`	BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping. Brain Connect. Kevin P. Nguyen, Vyom Raval, Abu Minhajuddin, Thomas Carmody, Madhukar H. Trivedi, Richard B. Dewey, Albert Montillo
2023	J	`jnl`	Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data. CoRR Adam Wang, Son Nguyen, Albert Montillo
2022	J	`jnl`	Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data. CoRR Kevin P. Nguyen, Albert Montillo
2022	J	`jnl`	DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models. CoRR Alex H. Treacher, Albert Montillo
2022	J	`jnl`	Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI. Neuroinformatics Vyom Raval, Kevin P. Nguyen, Marco Pinho, Richard B. Dewey Jr., Madhukar H. Trivedi, Albert Montillo
2022	J	`jnl`	UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data. CoRR Alex Treacher, Kevin P. Nguyen, Dylan Owens, Daniel Heitjan, Albert Montillo
2021	J	`jnl`	MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. NeuroImage 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
2020	B	`conf`	Anatomically informed data augmentation for functional MRI with applications to deep learning. Image Processing Kevin P. Nguyen, Cherise R. Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo
2020	—	`conf`	Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. ISBI Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo
2020	—	`conf`	Improved motion correction for functional MRI using an omnibus regression model. ISBI Vyom Raval, Kevin P. Nguyen, Cooper Mellema, Albert Montillo
2020	Misc	`conf`	Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability. ICASSP Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey, Albert Montillo
2020	—	`conf`	Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN. MICCAI (2) Son Nguyen, Dogan Polat, Paniz Karbasi, Daniel Moser, Liqiang Wang, Keith Hulsey, Murat Can Çobanoglu, Basak E. Dogan, Albert Montillo
2019	J	`jnl`	Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning. CoRR Kevin P. Nguyen, Cherise R. Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo
2019	J	`jnl`	Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. CoRR Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo
2019	—	`conf`	Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture. Computer-Aided Diagnosis Alex Treacher, Daniel Beauchamp, Bilal Quadri, David Fetzer, Abhinav Vij, Takeshi Yokoo, Albert Montillo
2019	—	`conf`	Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri. ISBI Cooper Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo
2019	—	`conf`	Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI. PRIME@MICCAI Kevin P. Nguyen, Cherise R. Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo
2019	J	`jnl`	Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability. CoRR Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey Jr., Albert Montillo
2019	—	`conf`	Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions. ISBI Kevin P. Nguyen, Cherise R. Chin Fatt, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo
2018	—	`conf`	Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. BI Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang
2018	—	`conf`	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. Computer-Aided Diagnosis 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
2018	—	`conf`	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. Computer-Aided Diagnosis 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
2017	—	`conf`	Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography. PRNI Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2017	—	`conf`	Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy. ISBI Afarin Famili, Gowtham Krishnan Murugesan, Elizabeth M. Davenport, James Germi, Benjamin C. Wagner, Bradley Lega, Albert Montillo
2017	—	`conf`	Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. ISBI 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
2017	—	`ed.`	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 MCV/BAMBI@MICCAI 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
2017	—	`conf`	Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. DLMIA/ML-CDS@MICCAI 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
2017	—	`conf`	Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. MICCAI (3) Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2016	—	`ed.`	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 MCV@MICCAI Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas
2015	B	`conf`	Hierarchical pictorial structures for simultaneously localizing multiple organs in volumetric pre-scan CT. Image Processing Albert Montillo, Qi Song, Bipul Das, Zhye Yin
2015	—	`conf`	Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas
2014	—	`ed.`	Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers MCV Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Zhuowen Tu
2014	—	`ed.`	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 MCV Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas
2014	—	`conf`	Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). MCV Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas
2013	—	`conf`	Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas. MCV Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo
2013	—	`conf`	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 Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo
2013	—	`conf`	Brain tumor segmentation with symmetric texture and symmetric intensity-based decision forests. ISBI Anthony C. Bianchi, James V. Miller, Ek Tsoon Tan, Albert Montillo
2013	—	`conf`	Deformable Atlas for Multi-structure Segmentation. MICCAI (1) Xiaofeng Liu, Albert Montillo, Ek T. Tan, John F. Schenck, Paulo R. S. Mendonça
2013	—	`ed.`	Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers MCV Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
2013	—	`conf`	Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models. MCV Qi Song, Albert Montillo, Roshni R. Bhagalia, V. Srikrishnan
2013	—	`conf`	Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). MCV Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jiménez del Toro
2013	B	`conf`	Parsing radiographs by integrating landmark set detection and multi-object active appearance models. Image Processing Albert Montillo, Qi Song, Xiaoming Liu, James V. Miller
2013	B	`conf`	iSTAPLE: improved label fusion for segmentation by combining STAPLE with image intensity. Image Processing Xiaofeng Liu, Albert Montillo, Ek T. Tan, John F. Schenck
2011	—	`conf`	Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
2011	—	`conf`	Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. IPMI Albert Montillo, Jamie Shotton, John M. Winn, Juan Eugenio Iglesias, Dimitris N. Metaxas, Antonio Criminisi
2009	B	`conf`	Age regression from faces using random forests. ICIP Albert Montillo, Haibin Ling
2005	J	`jnl`	Tagged magnetic resonance imaging of the heart: a survey. Medical Image Anal. Leon Axel, Albert Montillo, Daniel Kim
2005	J	`jnl`	Volumetric heart modeling and analysis. Commun. ACM Kyoungju Park, Albert Montillo, Dimitris N. Metaxas, Leon Axel
2003	—	`conf`	Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI. MICCAI (1) Albert Montillo, Dimitris N. Metaxas, Leon Axel
2003	B	`conf`	Interaction between noise suppression and inhomogeneity correction in MRI. Image Processing Albert Montillo, Jayaram K. Udupa, Leon Axel, Dimitris N. Metaxas
2002	—	`conf`	Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. MICCAI (1) Albert Montillo, Dimitris N. Metaxas, Leon Axel