G. Hermosillo

发表

A variational approach to multi-modal image matching

O. Faugeras, C. Chefd'Hotel, G. Hermosillo, 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.

The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case

O. Faugeras, R. Deriche, Frederic Devernay, 1999 .

Well-posedness of eight problems of multi-modal statistical image-matching

O. Faugeras, G. Hermosillo, Thème, 2002, 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002..

Unfolding the Cerebral Cortex Using Level Set Methods

Olivier D. Faugeras, Gerardo Hermosillo, José Gomes, 1999, Scale-Space.

Learning From Crowds

Gerardo Hermosillo, Shipeng Yu, Luca Bogoni, 2010, J. Mach. Learn. Res..

Modeling annotator expertise: Learning when everybody knows a bit of something

Mark W. Schmidt, Gerardo Hermosillo, Jennifer G. Dy, 2010, AISTATS.

Supervised learning from multiple experts: whom to trust when everyone lies a bit

Gerardo Hermosillo, Shipeng Yu, Anna K. Jerebko, 2009, ICML '09.

Whole-Body PET/MR Imaging: Quantitative Evaluation of a Novel Model-Based MR Attenuation Correction Method Including Bone

G. Hermosillo, H. Quick, C. Geppert, 2015, The Journal of Nuclear Medicine.

Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain

G. Hermosillo, J. Babb, Y. Zhan, 2016, The Journal of Nuclear Medicine.

Cortex Unfolding Using Level Set Methods

Gerardo Hermosillo, Olivier Faugeras, José Gomes, 1999 .

Computer-Assisted Medical Image Analysis Systems

Shu Liao, Gerardo Hermosillo, Marcos Salganicoff, 2015, Healthcare Data Analytics.

Time-efficient CT colonography interpretation using an advanced image-gallery-based, computer-aided “first-reader” workflow for the detection of colorectal adenomas

Gerardo Hermosillo, Marcos Salganicoff, Matthias Wolf, 2012, European Radiology.

Mining anatomical, physiological and pathological information from medical images

Gerardo Hermosillo, Yiqiang Zhan, Xiang Sean Zhou, 2012, SKDD.

Deep learning solution for medical image localization and orientation detection

Parmeet S. Bhatia, G. Hermosillo, Ke Zeng, 2022, Medical Image Anal..

Maintaining the point correspondence in the level set framework

Olivier D. Faugeras, Jean-Philippe Pons, Gerardo Hermosillo, 2006, J. Comput. Phys..

Variational Methods for Multimodal Image Matching

Olivier D. Faugeras, Gerardo Hermosillo, Christophe Chefd'Hotel, 2002, International Journal of Computer Vision.

Well-Posedness of Two Nonrigid Multimodal Image Registration Methods

Gerardo Hermosillo, Olivier D. Faugeras, O. Faugeras, 2004, SIAM J. Appl. Math..

Variational Methods for Multimodal Image Matching. (Méthodes Variationnelles pour le Recalage Multimodal)

Gerardo Hermosillo, G. Hermosillo, 2002 .

Adaptive geodesic transform for segmentation of vertebrae on CT images

Shu Liao, Bilwaj Gaonkar, Gerardo Hermosillo, 2014, Medical Imaging.

How to deal with point correspondences and tangential velocities in the level set framework

Olivier D. Faugeras, Jean-Philippe Pons, Gerardo Hermosillo, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation pdf

Gerardo Hermosillo, Zhigang Peng, Orhan Akal, 2020, ArXiv.

Flows of diffeomorphisms for multimodal image registration

Olivier D. Faugeras, Gerardo Hermosillo, Christophe Chefd'Hotel, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Variational, geometric, and statistical methods for modeling brain anatomy and function

Rachid Deriche, Jean-Philippe Pons, Christophe Lenglet, 2004, NeuroImage.

CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography

N. Obuchowski, V. Raykar, G. Hermosillo, 2014, European Radiology.

Variational stereovision and 3D scene flow estimation with statistical similarity measures

Olivier D. Faugeras, Jean-Philippe Pons, Gerardo Hermosillo, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Learning to Locate Cortical Bone in MRI

Xiang Zhou, Gerardo Hermosillo, Vikas C. Raykar, 2012, MLMI.

Deep Generative Neural Embeddings for High Dimensional Data Visualization

G. Hermosillo, H. Yerebakan, 2023, ArXiv.

Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations.

G. Hermosillo, Y. Shinagawa, A. Sauter, 2023, Academic radiology.

Dense image matching with global and local statistical criteria: a variational approach

Olivier D. Faugeras, Gerardo Hermosillo, O. Faugeras, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Variational Methods for Multimodal Image Matching

O. Faugeras, C. Chefd'Hotel, G. Hermosillo, 2002, International Journal of Computer Vision.

Brain PET Attenuation Correction without CT: An Investigation

Gerardo Hermosillo, Yiqiang Zhan, Maneesh Dewan, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Image Registration in Medical Imaging: Applications, Methods, and Clinical Evaluation

Gerardo Hermosillo, Marcos Salganicoff, Arun Krishnan, 2011 .

Application and assessment of a robust elastic motion correction algorithm to dynamic MRI

A. Krishnan, J. R. Reichenbach, M. Salganicoff, 2006, European Radiology.

Expanded pharmacokinetic model for population studies in breast MRI

Gerardo Hermosillo, Yoshihisa Shinagawa, Vandana Mohan, 2008, SPIE Medical Imaging.

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks

Shu Liao, Yu Zhao, Tianming Liu, 2018, MICCAI.