Albert Montillo

发表

Medical Computer Vision: Algorithms for Big Data

Shaoting Zhang, Bjoern H. Menze, Georg Langs, 2014, Lecture Notes in Computer Science.

Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013)

Zhuowen Tu, Georg Langs, Albert Montillo, 2013, MCV.

Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images

Dimitris N. Metaxas, Antonio Criminisi, Albert Montillo, 2011, IPMI.

Hierarchical pictorial structures for simultaneously localizing multiple organs in volumetric pre-scan CT

Bipul Das, Albert Montillo, Qi Song, 2015, Medical Imaging.

Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning

Zhuowen Tu, Antonio Criminisi, Ender Konukoglu, 2011, IPMI.

Parsing radiographs by integrating landmark set detection and multi-object active appearance models

James V. Miller, Xiaoming Liu, Albert Montillo, 2013, Medical Imaging.

Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models

Albert Montillo, Qi Song, Roshni R. Bhagalia, 2013, MCV.

Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015)

Dimitris N. Metaxas, Shaoting Zhang, Georg Langs, 2015, MCV@MICCAI.

Segmenting cardiac MRI tagging lines using Gabor filter banks

Dimitris N. Metaxas, Leon Axel, Albert Montillo, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Improved motion correction for functional MRI using an omnibus regression model

Albert Montillo, Vyom Raval, Kevin P. Nguyen, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

M. Jorge Cardoso, William M. Wells, Shaoting Zhang, 2016, Lecture Notes in Computer Science.

Volumetric heart modeling and analysis

Dimitris N. Metaxas, Leon Axel, Albert Montillo, 2005, CACM.

Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective

Albert Montillo, Joseph A. Maldjian, Debadatta Dash, 2018, BI.

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

Gowtham Krishnan Murugesan, Albert Montillo, Joseph A. Maldjian, 2018, Medical Imaging.

Segmentation and analysis of 3D cardiac motion from tagged MRI images

Leon Axel, Albert Montillo, Dimitris N. Metaxas, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Deformable Atlas for Multi-structure Segmentation

Paulo R. S. Mendonça, Albert Montillo, Xiaofeng Liu, 2013, MICCAI.

iSTAPLE: improved label fusion for segmentation by combining STAPLE with image intensity

Albert Montillo, Xiaofeng Liu, John F. Schenck, 2013, Medical Imaging.

Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI

Dimitris N. Metaxas, Leon Axel, Albert Montillo, 2003, MICCAI.

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

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2018, Medical Imaging.

Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture

Albert Montillo, Daniel Beauchamp, Alex Treacher, 2019, Medical Imaging.

Prediction of Individual Progression Rate in Parkinson’s Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability

Albert Montillo, Vyom Raval, Kevin P. Nguyen, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks

Albert Montillo, Joseph A. Maldjian, Jasmin Divers, 2017, DLMIA/ML-CDS@MICCAI.

Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning pdf

Albert Montillo, Kevin P. Nguyen, Cooper Mellema, 2019, Medical Imaging: Image Processing.

Acquisition, preprocessing, and reconstruction of ultralow dose volumetric CT scout for organ-based CT scan planning.

Bruno De Man, Peter M Edic, Albert Montillo, 2015, Medical physics.

VOLUMETRIC MODELING AND ANALYSIS Using magnetically tagged data to better understand the mechanical function of normal and abnormal hearts.

Dimitris N. Metaxas, Leon Axel, Albert Montillo, 2005 .

Interaction between noise suppression and inhomogeneity correction in MRI

Jayaram K. Udupa, Dimitris N. Metaxas, Leon Axel, 2003, SPIE Medical Imaging.

Tagged Magnetic Resonance Imaging of the Heart: a Survey

Leon Axel, Albert Montillo, Daniel Kim, 2004 .

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Antonio Criminisi, Georg Langs, Albert Montillo, 2010, Lecture Notes in Computer Science.

Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas

Dimitris N. Metaxas, Shaoting Zhang, Albert Montillo, 2013, MCV.

Medical Computer Vision: Algorithms for Big Data

Shaoting Zhang, Georg Langs, Albert Montillo, 2015, Lecture Notes in Computer Science.

Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy

Gowtham Krishnan Murugesan, Albert Montillo, Benjamin C. Wagner, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Brain tumor segmentation with symmetric texture and symmetric intensity-based decision forests

James V. Miller, Albert Montillo, Ek Tsoon Tan, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI

Albert Montillo, Kevin P. Nguyen, Cooper Mellema, 2019, PRIME@MICCAI.

Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers

Bjoern H. Menze, Georg Langs, Albert Montillo, 2014, MCV.

Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014)

Dimitris N. Metaxas, Shaoting Zhang, Georg Langs, 2014, MCV.

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Age regression from faces using random forests

Haibin Ling, Albert Montillo, Haibin Ling, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Antonio Criminisi, Georg Langs, Albert Montillo, 2012, Lecture Notes in Computer Science.

Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, MICCAI.

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

Dimitris N. Metaxas, Shaoting Zhang, Albert Montillo, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images

Dimitris N. Metaxas, Leon Axel, Albert Montillo, 2002, MICCAI.

Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder

Albert Montillo, Kevin P. Nguyen, Alex Treacher, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN

Albert Montillo, Daniel Moser, Son Nguyen, 2020, MICCAI.