Maria Gabrani

According to our database1, Maria Gabrani authored at least 51 papers between 1994 and 2022.

Collaborative distances:
  • Dijkstra number2 of two.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Hierarchical graph representations in digital pathology.
Medical Image Anal., 2022

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images.
CoRR, 2022

2021
On the role of artificial intelligence in medical imaging of COVID-19.
Patterns, 2021

Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks.
Medical Image Anal., 2021

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images.
CoRR, 2021

Match What Matters: Generative Implicit Feature Replay for Continual Learning.
CoRR, 2021

Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.
CoRR, 2021

Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Quantifying Explainers of Graph Neural Networks in Computational Pathology.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020
Towards Explainable Graph Representations in Digital Pathology.
CoRR, 2020

NINEPINS: Nuclei Instance Segmentation with Point Annotations.
CoRR, 2020

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Mitosis Detection Under Limited Annotation: A Joint Learning Approach.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Personalized Assessment of Arousal and Valence from Videos.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings.
Proceedings of the AMIA 2020, 2020

2019
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.
IEEE Trans. Biomed. Eng., 2019

Revisiting Few-Shot Learning for Facial Expression Recognition.
CoRR, 2019

edGNN: a Simple and Powerful GNN for Directed Labeled Graphs.
CoRR, 2019

A deep learning framework for context-aware mitotic activity estimation in whole slide images.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks.
CoRR, 2018

Deep positive-unlabeled learning for region of interest localization in breast tissue images.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Computational Processing of Histological Images.
ERCIM News, 2017

Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Computational Immunohistochemistry: Recipes for Standardization of Immunostaining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Disease grading of heterogeneous tissue using convolutional autoencoder.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Wide residual networks for mitosis detection.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Extracting Interactions from Molecular Pathways.
Proceedings of the 12th International Workshop on Graphics Recognitio, 2017

Interpreting Data from Scanned Tables.
Proceedings of the 12th International Workshop on Graphics Recognitio, 2017

Multimodal Classification of Document Embedded Images.
Proceedings of the Graphics Recognition, Current Trends and Evolutions, 2017

Extracting Information from Molecular Pathway Diagrams.
Proceedings of the Graphics Recognition, Current Trends and Evolutions, 2017

2016
Big Data Takes on Prostate Cancer.
ERCIM News, 2016

Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

A computational framework for disease grading using protein signatures.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014
Surface Reconstruction From Microscopic Images in Optical Lithography.
IEEE Trans. Image Process., 2014

Implementing the L ∞ Segment Voronoi Diagram in CGAL and Applying in VLSI Pattern Analysis.
Proceedings of the Mathematical Software - ICMS 2014, 2014

2007
A 90nm CMOS cryptographic core with improved fault-tolerance in presence of massive defect density.
Proceedings of the 2nd Internationa ICST Conference on Nano-Networks, 2007

Design and realization of a fault-tolerant 90nm CMOS cryptographic engine capable of performing under massive defect density.
Proceedings of the 17th ACM Great Lakes Symposium on VLSI 2007, 2007

2003
Design methodology for a modular service-driven network processor architecture.
Comput. Networks, 2003

2002
Scalable motion compensated scan-rate upconversion.
Proceedings of the Visual Communications and Image Processing 2002, 2002

2001
Dynamic Behavior Of Consumer Multimedia Terminals: Video Processing Aspects.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Scalable algorithms for media processing.
Proceedings of the 2001 International Conference on Image Processing, 2001

1999
Surface-based matching using elastic transformations.
Pattern Recognit., 1999

1998
Cross individual model-based alignment of volumetric images.
Proceedings of the Noblesse Workshop on Non-Linear Model Based Image Analysis, 1998

A Novel Interpolation Problem: Surface based Matching.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1996
Multichannel adaptive L-filters in color image filtering.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1994
Cellular LMS L-filters for Noise Suppression in Still Images and Image Sequences.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994


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