Gerardo Hermosillo

According to our database1, Gerardo Hermosillo authored at least 39 papers between 1999 and 2026.

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Timeline

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Bibliography

2026
AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification.
CoRR, May, 2026

MALSIV: Multi-Agent Multi-Landmark Searching with Implicit Voting for Fast and Robust Anatomical Landmark Localization in MR Scans.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Fast Multi-Organ Fine Segmentation in CT Images with Hierarchical Sparse Sampling and Residual Transformer.
CoRR, November, 2025

Consistent Point Matching.
CoRR, July, 2025

BodyGPS: Anatomical Positioning System.
CoRR, May, 2025

Federated and Continual Learning of AI Models from Routine Clinical Data Under Privacy Constraints.
Proceedings of the Efficient Medical Artificial Intelligence, 2025

Unsupervised Abnormality Segmentation in Chest CT with Anatomy-Guided Latent Diffusion Model and Adaptive Thresholding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2.
CoRR, 2024

Real Time Multi Organ Classification on Computed Tomography Images.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

2023
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction.
CoRR, 2023

Deep Generative Neural Embeddings for High Dimensional Data Visualization.
CoRR, 2023

A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
Deep learning solution for medical image localization and orientation detection.
Medical Image Anal., 2022

Dual-Domain Cross-Iteration Squeeze-Excitation Network for Sparse Reconstruction of Brain MRI.
CoRR, 2022

2020
ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation.
CoRR, 2020

2018
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2015
Computer-Assisted Medical Image Analysis Systems.
Proceedings of the Healthcare Data Analytics., 2015

2014
Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Adaptive geodesic transform for segmentation of vertebrae on CT images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Brain PET Attenuation Correction without CT: An Investigation.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

A method for automatic matching of multi-timepoint findings for enhanced clinical workflow.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Mining anatomical, physiological and pathological information from medical images.
SIGKDD Explor., 2012

Learning to Locate Cortical Bone in MRI.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2010
Modeling annotator expertise: Learning when everybody knows a bit of something.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning From Crowds.
J. Mach. Learn. Res., 2010

2009
A comparison study of atlas-based image segmentation: the advantage of multi-atlas based on shape clustering.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Supervised learning from multiple experts: whom to trust when everyone lies a bit.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Expanded pharmacokinetic model for population studies in breast MRI.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

2006
Maintaining the point correspondence in the level set framework.
J. Comput. Phys., 2006

Automatic segmentation of vessels in breast MR sequences as a false positive elimination technique for automatic lesion detection and segmentation using the shape tensor.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2004
Well-Posedness of Two Nonrigid Multimodal Image Registration Methods.
SIAM J. Appl. Math., 2004

2003
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

How To Deal with Point Correspondences and Tangential Velocities in the Level Set Framework.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Variational Methods for Multimodal Image Matching. (Méthodes Variationnelles pour le Recalage Multimodal).
PhD thesis, 2002

Variational Methods for Multimodal Image Matching.
Int. J. Comput. Vis., 2002

Flows of diffeomorphisms for multimodal image registration.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
Dense Image Matching with Global and Local Statistical Criteria: A Variational Approach.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

1999
Unfolding the Cerebral Cortex Using Level Set Methods.
Proceedings of the Scale-Space Theories in Computer Vision, 1999


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