R. Martí

Joan Carles Vilanova, Gerard Pons, J Alison Noble, 2013, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

2 D-3 D Correspondence in Mammography

Reyer Zwiggelaar, Erika Denton, E. Denton, 2022 .

Computer-Aided Diagnosis Systems for Prostate Cancer Detection

R. Martí, F. Mériaudeau, G. Lemaître, 2018, Prostate Cancer Imaging.

Optimally discriminant moments for speckle detection in real B-scan images.

R. Martí, R. Zwiggelaar, J. Freixenet, 2008, Ultrasonics.

Ultrasound Image Analysis. Methods and Applications

Arnau Oliver, Albert Gubern-Mérida, Joan C. Vilanova, 2011 .

Mass eigendetection and the benefits of introducing breast density information

A. Oliver, R. Martí, J. Freixenet, 2022 .

Structural changes in subcutaneous and visceral abdominal fatty tissue induced by local application of 448 kHz capacitive resistive monopolar radiofrequency: a magnetic resonance imaging case study

R. Martí, X. Lladó, Josep Puig, 2022, Lasers in Medical Science.

Using deep learning for triple-negative breast cancer classification in DCE-MRI

R. Martí, Joel Vidal, 2022, The International Workshop on Breast Imaging.

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review

Xavier Lladó, Robert Marti, Arnau Oliver, 2017, Artif. Intell. Medicine.

Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients

A. Oliver, R. Martí, À. Rovira, 2014, Neuroinformatics.

Automated detection of multiple sclerosis lesions in serial brain MRI

Xavier Lladó, Arnau Oliver, Jordi Freixenet, 2012, Neuroradiology.

Which is the best way to organize/classify images by content?

Robert Marti, Xavier Muñoz, Anna Bosch, 2007, Image Vis. Comput..

Challenges of Deep Learning Methods for COVID-19 Detection Using Public Datasets

M. K. Hasan, M. A. Alam, L. Dahal, 2020, medRxiv.

DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image

Md. Kamrul Hasan, Md. Ashraful Alam, Robert Martí, 2020, Artif. Intell. Medicine.

A boosting approach for prostate cancer detection using multi-parametric MRI

Guillaume Lemaitre, Fabrice Mériaudeau, Désiré Sidibé, 2015, International Conference on Quality Control by Artificial Vision.

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, Comput. Methods Programs Biomed..

Statistical shape and texture model of quadrature phase information for prostate segmentation

Fabrice Mériaudeau, Xavier Lladó, Robert Marti, 2011, International Journal of Computer Assisted Radiology and Surgery.

A U-Net Ensemble for breast lesion segmentation in DCE MRI

Joan Carles Vilanova, Joel Vidal, Robert Martí, 2021, Comput. Biol. Medicine.

Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging

Guillaume Lemaitre, Mojdeh Rastgoo, Fabrice Mériaudeau, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Method for 6D Pose Estimation of Free-Form Rigid Objects Using Point Pair Features on Range Data

Xavier Lladó, Chyi-Yeu Lin, Joel Vidal, 2018, Sensors.

Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review

Guillaume Lemaitre, Fabrice Mériaudeau, Robert Marti, 2015, Comput. Biol. Medicine.

Structural changes in subcutaneous and visceral abdominal fatty tissue induced by local application of 448 kHz capacitive resistive monopolar radiofrequency: a magnetic resonance imaging case study

R. Martí, X. Lladó, Josep Puig, 2022, Lasers in Medical Science.

Breast ultrasound lesions recognition: end-to-end deep learning approaches

Manu Goyal, Reyer Zwiggelaar, Arne Juette, 2018, Journal of medical imaging.

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

Reyer Zwiggelaar, Joan Martí, Gerard Pons, 2018, IEEE Journal of Biomedical and Health Informatics.

Computerized detection of breast lesions using deformable part models in ultrasound images.

Gerard Pons, Sergi Ganau, Robert Martí, 2014, Ultrasound in medicine & biology.

Electrophysiological Characterization of Cardiac Cells Differentiated from Embryonic, Induced Pluripotent and Adipose-Derived Stem Cells for Translational Tissue Engineering Applications

R. Martí, 2016 .

Breast peripheral area correction in digital mammograms

Robert Marti, Arnau Oliver, Jordi Freixenet, 2014, Comput. Biol. Medicine.

A Novel Breast Tissue Density Classification Methodology

Robert Marti, Arnau Oliver, Jordi Freixenet, 2008, IEEE Transactions on Information Technology in Biomedicine.

Breast ultrasound region of interest detection and lesion localisation

Manu Goyal, Reyer Zwiggelaar, Arne Juette, 2020, Artif. Intell. Medicine.

Deep learning for mass detection in Full Field Digital Mammograms

Xavier Lladó, Moi Hoon Yap, Robert Martí, 2020, Comput. Biol. Medicine.

Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures

Eloy García, Robert Marti, Oliver Díaz, 2016, Digital Mammography / IWDM.

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

Kenny H. Cha, Krzysztof J. Geras, Md Belayat Hossain, 2023, JAMA network open.

Tracking Mammographic Structures Over Time

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2001, BMVC.

6D pose estimation using an improved method based on point pair features

Chyi-Yeu Lin, Joel Vidal, Robert Martí, 2018, 2018 4th International Conference on Control, Automation and Robotics (ICCAR).

Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework

Nico Karssemeijer, Robert Marti, Albert Gubern-Mérida, 2015, IEEE Journal of Biomedical and Health Informatics.

Are artificial intelligence systems useful in breast cancer screening programmes?

R. Martí, Oliver Díaz, A. Gubern-Mérida, 2021, Radiología (English Edition).

Breast tomosynthesis reconstruction using TIGRE software tool

Oliver Díaz, Robert Martí, Josep Fernández, 2018, Other Conferences.

Breast MRI and X‐ray mammography registration using gradient values

Eloy García, Xavier Lladó, Oliver Díaz, 2019, Medical Image Anal..

Visual Attention and Color Cues for 6D Pose Estimation on Occluded Scenarios Using RGB-D Data

R. Martí, Chyi-Yeu Lin, Joel Vidal, 2021, Sensors.

End-to-end breast ultrasound lesions recognition with a deep learning approach

Manu Goyal, Reyer Zwiggelaar, Arne Juette, 2018, Medical Imaging.

Automated localization of breast cancer in DCE-MRI

Nico Karssemeijer, Robert Marti, Bram Platel, 2015, Medical Image Anal..

A textural approach for mass false positive reduction in mammography

Xavier Lladó, Robert Marti, Arnau Oliver, 2009, Comput. Medical Imaging Graph..

Comparison of registration methods using mamographic images

Xavier Lladó, Robert Marti, Arnau Oliver, 2010, 2010 IEEE International Conference on Image Processing.

Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis

Xavier Lladó, Oliver Diaz, Albert Gubern-Mérida, 2018, Ultrasonic imaging.

Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients

Alex Rovira, Robert Marti, Arnau Oliver, 2013, Neuroinformatics.

Adapting Breast Density Classification from Digitized to Full-Field Digital Mammograms

Robert Marti, Arnau Oliver, Jordi Freixenet, 2012, Digital Mammography / IWDM.

Detecting Mammographic Abnormalities from Image Registration Results

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2005, CCIA.

TWO-DIMENSIONAL–THREE-DIMENSIONAL CORRESPONDENCE IN MAMMOGRAPHY

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2004, Cybern. Syst..

Simultaneous pectoral muscle and nipple location in MLO mammograms, considering image quality assumptions

A. Oliver, R. Martí, J. Martí, 2022, International Workshop on Breast Imaging.

A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2013, Medical Image Anal..

A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A Random Forest Based Classification Approach to Prostate Segmentation in MRI

Soumya Ghose, Arnau Oliver, Jordi Freixenet, 2012 .

Changes in breast density over time using automatic density measures: preliminary analysis

Eloy García, Oliver Díaz, Arnau Oliver, 2018, Other Conferences.

Revisiting Intensity-Based Image Registration Applied to Mammography

Xavier Lladó, Robert Marti, Arnau Oliver, 2011, IEEE Transactions on Information Technology in Biomedicine.

Improving a CAD system using bilateral information

Robert Marti, Arnau Oliver, Jordi Freixenet, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Automatic Registration of Mammograms Based on Linear Structures

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2001, IPMI.

Hemostasis using high intensity focused ultrasound.

R. Martí, L. Crum, S. Vaezy, 1999, European journal of ultrasound : official journal of the European Federation of Societies for Ultrasound in Medicine and Biology.

Automatic mass detection in mammograms using deep convolutional neural networks

Xavier Lladó, Oliver Diaz, Moi Hoon Yap, 2019, Journal of medical imaging.

A Comparison of Breast Tissue Classification Techniques

Robert Marti, Arnau Oliver, Jordi Freixenet, 2006, MICCAI.

DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation

Md. Tasnim Jawad, R. Martí, M. Hasan, 2021, medRxiv.

Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Weighted likelihood function of multiple statistical parameters to retrieve 2D TRUS-MR slice correspondence for prostate biopsy

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, 2012 19th IEEE International Conference on Image Processing.

A spline-based non-linear diffeomorphism for multimodal prostate registration

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, Medical Image Anal..

Prostate multimodality image registration based on B-splines and quadrature local energy

Fabrice Mériaudeau, Xavier Lladó, Robert Marti, 2012, International Journal of Computer Assisted Radiology and Surgery.

A shape-based statistical method to retrieve 2D TRUS-MR slice correspondence for prostate biopsy

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, Medical Imaging.

A comparison of thin-plate splines with automatic correspondences and B-splines with uniform grids for multimodal prostate registration

Fabrice Mériaudeau, Xavier Lladó, Robert Marti, 2011, Medical Imaging.

Optimally discriminant moments for speckle detection in real B-scan images.

R. Martí, R. Zwiggelaar, J. Freixenet, 2008, Ultrasonics.

Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model

Xavier Lladó, Arnau Oliver, Oliver Diaz, 2018, IEEE Transactions on Medical Imaging.

Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI

Robert Marti, Albert Gubern-Mérida, Susanne Diekmann, 2014, Digital Mammography / IWDM.

Are artificial intelligence systems useful in breast cancer screening programs?

R. Martí, Oliver Díaz, A. Gubern-Mérida, 2021, Radiologia.

Object and Scene Classification: what does a Supervised Approach Provide us?

Robert Marti, Arnau Oliver, Xavier Muñoz, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Automatic Seed Placement for Breast Lesion Segmentation on US Images

Fabrice Mériaudeau, Robert Marti, Arnau Oliver, 2012, Digital Mammography / IWDM.

Lesion Segmentation in Breast Sonography

Fabrice Mériaudeau, Robert Marti, Arnau Oliver, 2010, Digital Mammography / IWDM.

Seed selection criteria for breast lesion segmentation in Ultra-Sound images

Fabrice Meriaudeau, Joan Massich, P Elsa, 2011 .

Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data

G. Vallicrosa, R. Martí, Joel Vidal, 2023, Sensors.

BUS-Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.

Moi Hoon Yap, R. Martí, R. Zwiggelaar, 2023, Medical physics.

Automatic Intra Muscular Fat Analysis on Dry-Cured Ham Slices

Xavier Cufí, Robert Marti, Israel Muñoz, 2013, IbPRIA.

Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches

Nico Karssemeijer, Robert Marti, Albert Gubern-Mérida, 2012, MICCAI.

Multi-class Probabilistic Atlas-Based Segmentation Method in Breast MRI

Nico Karssemeijer, Robert Marti, Albert Gubern-Mérida, 2011, IbPRIA.

Elastic modulus imaging using optical flow and image registration

Robert Marti, J. Alison Noble, R. Martí, 2010, 2010 IEEE International Conference on Image Processing.

Quality analysis of DCGAN-generated mammography lesions

R. Martí, Oliver Díaz, J. Vilanova, 2019, Other Conferences.

Deep learning for mass detection in Full Field Digital Mammograms

Moi Hoon Yap, R. Martí, Richa Agarwal, 2020, Comput. Biol. Medicine.

Breast Density Segmentation: A Comparison of Clustering and Region Based Techniques

Imma Boada, Salvador Pedraza, Xavier Lladó, 2008, Digital Mammography / IWDM.

Breast Density Analysis Using an Automatic Density Segmentation Algorithm

Xavier Lladó, Robert Marti, Arnau Oliver, 2015, Journal of Digital Imaging.

Influence of using manual or automatic breast density information in a mass detection CAD system.

Xavier Lladó, Arnau Oliver, Jordi Freixenet, 2010, Academic radiology.

False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA

Xavier Lladó, Robert Marti, Arnau Oliver, 2007, IbPRIA.

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Deep Learning in Mammography Breast Cancer Detection

Moi Hoon Yap, R. Martí, R. Zwiggelaar, 2022, Artificial Intelligence in Medicine.

Evaluating Lesion Segmentation on Breast Sonography as Related to Lesion Type

R. Martí, J. Martí, J. Vilanova, 2013, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI

Desire Sidibé, Fabrice Mériaudeau, Xavier Lladó, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Breast Skin-Line Segmentation Using Contour Growing

Robert Marti, Arnau Oliver, Jordi Freixenet, 2007, IbPRIA.