Artificial Intelligence in COPD: New Venues to Study a Complex Disease

von Estépar, Raúl San José
Veröffentlicht in Barc Respir Netw Rev (2020)

Targeting Precision with Data Augmented Samples in Deep Learning

von Nardelli, Pietro, Estépar, Raúl San José
Veröffentlicht in Med Image Comput Comput Assist Interv (2019)

RANKING AND CLASSIFICATION OF MONOTONIC EMPHYSEMA PATTERNS WITH A MULTI-CLASS HIERARCHICAL APPROACH

von Kurugol, Sila, Washko, George R., Estepar, Raul San Jose
Veröffentlicht in Proc IEEE Int Symp Biomed Imaging (2014)

AUTOMATED AGATSTON SCORE COMPUTATION IN A LARGE DATASET OF NON ECG-GATED CHEST COMPUTED TOMOGRAPHY

von González, Germán, Washko, George R., Estépar, Raúl San José
Veröffentlicht in Proc IEEE Int Symp Biomed Imaging (2016)

Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans

von González, Germán, Washko, George R., Estépar, Raúl San José
Veröffentlicht in Proc SPIE Int Soc Opt Eng (2018)

Generative-based Airway and Vessel Morphology Quantification on Chest CT Images

von Nardelli, Pietro, Ross, James C., Estépar, Raúl San José
Veröffentlicht in Med Image Anal (2020)

Supervised Image Classification Algorithm Using Representative Spatial Texture Features: Application to COVID-19 Diagnosis Using CT Images

von Belkhatir, Zehor, Estépar, Raúl San José, Tannenbaum, Allen R.
Veröffentlicht in medRxiv (2020)

Towards real time 2D to 3D registration for ultrasound-guided endoscopic and laparoscopic procedures

von Estépar, Raúl San José, Westin, Carl-Fredrik, Vosburgh, Kirby G.
Veröffentlicht 2009

Computed Tomographic Airway Morphology in Chronic Obstructive Pulmonary Disease. Remodeling or Innate Anatomy?

von Diaz, Alejandro A., Estépar, Raul San José, Washko, George R.
Veröffentlicht in Ann Am Thorac Soc (2016)

A Kernel-Based Approach for User-Guided Fiber Bundling using Diffusion Tensor Data

von Estépar, Raúl San José, Kubicki, Marek, Shenton, Martha, Westin, Carl-Fredrik
Veröffentlicht 2006

Extended Gabor approach applied to classification of emphysematous patterns in computed tomography

von Nava, Rodrigo, Escalante-Ramírez, Boris, Cristóbal, Gabriel, Estépar, Raúl San José
Veröffentlicht in Med Biol Eng Comput (2014)

A Feature-based Approach to Big Data Analysis of Medical Images

von Toews, Matthew, Wachinger, Christian, Estepar, Raul San Jose, Wells, William M.
Veröffentlicht in Inf Process Med Imaging (2015)

Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort

von Binder, Polina, Batmanghelich, Nematollah K., Estepar, Raul San Jose, Golland, Polina
Veröffentlicht in Mach Learn Med Imaging (2016)

On Diffusion Tensor Estimation

von Niethammer, Marc, Estepar, Raul San Jose, Bouix, Sylvain, Shenton, Martha, Westin, Carl-Fredrik
Veröffentlicht 2006

Sampling and Visualizing Creases with Scale-Space Particles

von Kindlmann, Gordon L., Estépar, Raúl San José, Smith, Stephen M., Westin, Carl-Fredrik
Veröffentlicht 2009

Generative Method to Discover Genetically Driven Image Biomarkers

von Batmanghelich, Nematollah K., Saeedi, Ardavan, Cho, Michael, Estepar, Raul San Jose, Golland, Polina
Veröffentlicht in Inf Process Med Imaging (2015)

Automated Agatston Score Computation in non-ECG Gated CT Scans Using Deep Learning

von Cano-Espinosa, Carlos, González, Germán, Washko, George R., Cazorla, Miguel, Estépar, Raúl San José
Veröffentlicht in Proc SPIE Int Soc Opt Eng (2018)

LOCALIZING IMAGE-BASED BIOMARKER REGRESSION WITHOUT TRAINING MASKS: A NEW APPROACH TO BIOMARKER DISCOVERY

von Cano-Espinosa, Carlos, González, Germán, Washko, George R., Cazorla, Miguel, Estépar, Raúl San José
Veröffentlicht in Proc IEEE Int Symp Biomed Imaging (2019)

Biomarker Localization from Deep Learning Regression Networks

von Cano-Espinosa, Carlos, González, Germán, Washko, George R., Cazorla, Miguel, Estépar, Raúl San José
Veröffentlicht in IEEE Trans Med Imaging (2020)

Emphysema Classification Based on Embedded Probabilistic PCA

von Zulueta-Coarasa, Teresa, Kurugol, Sila, Ross, James C., Washko, George G., Estépar, Raúl San José
Veröffentlicht 2013