Maria Gabrani

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 52

Top Topics

Multiple Instance

Graph Representation

Prostate Cancer

Histological Images

Top Venues

Medical Imaging: Digital Pathology

Medical Image Anal.

Publications

M. Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. CoRR (2024)
Rikhil Seshadri, Jayant Siva, Angelica Bartholomew, Clara Goebel, Gabriel Wallerstein-King, Beatriz López Morato, Nicholas Heller, Jason Scovell, Rebecca Campbell, Andrew Wood, Michal Ozery-Flato, Vesna Barros, Maria Gabrani, Michal Rosen-Zvi, Resha Tejpaul, Vidhyalakshmi Ramesh, Nikolaos Papanikolopoulos, Subodh Regmi, Ryan Ward, Robert Abouassaly, Steven C. Campbell, Erick Remer, Christopher Weight
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CoRR (2024)
Chien-Yu Chiou, Hung-Wen Tsai, Wei-Jong Yang, Chih-Hsien Lee, Ming Ting Sun, Maria Gabrani, Kuo-Sheng Cheng, Meng-Ling Wu, Pau-Choo Chung
ACC-GAN: Cross Scanner Robustness With Annotation Consistency Guided Cycle-GAN. J. Inf. Sci. Eng. 40 (3) (2024)
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. CoRR (2023)
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
Weakly supervised joint whole-slide segmentation and classification in prostate cancer. Medical Image Anal. 89 (2023)
Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. ECCV (21) (2022)
Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. Database J. Biol. Databases Curation 2022 (2022) (2022)
Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. CoRR (2022)
Pushpak Pati, Guillaume Jaume, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani
Hierarchical graph representations in digital pathology. Medical Image Anal. 75 (2022)
Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. CoRR (2021)
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel, Maria Gabrani
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks. Medical Image Anal. 67 (2021)
Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. CoRR (2021)
Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2 (6) (2021)
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs. CoRR (2021)
Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani
Histocartography: a pipeline for histology image analysis. AMIA (2021)
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR (2021)
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) (2021)
Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel
Match What Matters: Generative Implicit Feature Replay for Continual Learning. CoRR (2021)
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. COMPAY@MICCAI (2021)
Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. CoRR (2021)
Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2 (8) (2021)
Hung-Chun Hsu, Hung-Wen Tsai, Maria Gabrani, Pau-Choo Chung, Antonio Foncubierta-Rodríguez, Yu-Ting Wu
Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images. SSCI (2021)
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CoRR (2020)
Ting-An Yen, Hung-Chun Hsu, Pushpak Pati, Maria Gabrani, Antonio Foncubierta-Rodríguez, Pau-Choo Chung
NINEPINS: Nuclei Instance Segmentation with Point Annotations. CoRR (2020)
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. CoRR (2020)
Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani
Towards Explainable Graph Representations in Digital Pathology. CoRR (2020)
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. CoRR (2020)
Matthew Pediaditis, Anca-Nicoleta Ciubotaru, Thomas Brunschwiler, Peter Hilfiker, Thomas Grunwald, Marcellina Häberlin, Lukas Imbach, Carl Muroi, Christian Strässle, Emanuela Keller, Maria Gabrani
Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings. AMIA (2020)
Matthew Pediaditis, Anca-Nicoleta Ciubotaru, Thomas Brunschwiler, Maria Gabrani
Personalized Assessment of Arousal and Valence from Videos. ICHI (2020)
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI (2020)
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. ISBI (2020)
Pushpak Pati, Raúl Catena, Orcun Goksel, Maria Gabrani
A deep learning framework for context-aware mitotic activity estimation in whole slide images. Medical Imaging: Digital Pathology (2019)
Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization. IEEE Trans. Biomed. Eng. 66 (10) (2019)
Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. CoRR (2019)
Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani
Revisiting Few-Shot Learning for Facial Expression Recognition. CoRR (2019)
Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis
Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. MICCAI (1) (2019)
Pushpak Pati, Sonali Andani, Matthew Pediaditis, Matheus Palhares Viana, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani
Deep positive-unlabeled learning for region of interest localization in breast tissue images. Medical Imaging: Digital Pathology (2018)
Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology. ECCV Workshops (6) (2018)
Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR (2018)
Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Costas Bekas, Maria Gabrani
Extracting Interactions from Molecular Pathways. GREC@ICDAR (2017)
Erwan Zerhouni, Bogdan Prisacari, Maria Gabrani, Qing Zhong, Peter Wild
Computational Processing of Histological Images. ERCIM News 2017 (108) (2017)
Waleed Farrukh, Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orçun Göksel, Maria Gabrani
Interpreting Data from Scanned Tables. GREC@ICDAR (2017)
Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining. MICCAI (2) (2017)
Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Costas Bekas, Maria Gabrani
Extracting Information from Molecular Pathway Diagrams. GREC (2017)
Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani
Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder. Medical Imaging: Digital Pathology (2017)
Erwan Zerhouni, David Lanyi, Matheus P. Viana, Maria Gabrani
Wide residual networks for mitosis detection. ISBI (2017)
Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani
Disease grading of heterogeneous tissue using convolutional autoencoder. ISBI (2017)
Matheus P. Viana, Quoc-Bao Nguyen, John R. Smith, Maria Gabrani
Multimodal Classification of Document Embedded Images. GREC (2017)
Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani
Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues. Medical Imaging: Digital Pathology (2016)
Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani
A computational framework for disease grading using protein signatures. ISBI (2016)
Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani
Big Data Takes on Prostate Cancer. ERCIM News 2016 (104) (2016)
Virginia Estellers, Jean-Philippe Thiran, Maria Gabrani
Surface Reconstruction From Microscopic Images in Optical Lithography. IEEE Trans. Image Process. 23 (8) (2014)
Panagiotis Cheilaris, Sandeep Kumar Dey, Maria Gabrani, Evanthia Papadopoulou
Implementing the L ∞ Segment Voronoi Diagram in CGAL and Applying in VLSI Pattern Analysis. ICMS (2014)
Milos Stanisavljevic, Frank K. Gürkaynak, Alexandre Schmid, Yusuf Leblebici, Maria Gabrani
Design and realization of a fault-tolerant 90nm CMOS cryptographic engine capable of performing under massive defect density. ACM Great Lakes Symposium on VLSI (2007)
Milos Stanisavljevic, Frank Kagan Gürkaynak, Alexandre Schmid, Yusuf Leblebici, Maria Gabrani
A 90nm CMOS cryptographic core with improved fault-tolerance in presence of massive defect density. Nano-Net (2007)
Maria Gabrani, Gero Dittmann, Andreas C. Döring, Andreas Herkersdorf, Patricia Sagmeister, Jan van Lunteren
Design methodology for a modular service-driven network processor architecture. Comput. Networks 41 (5) (2003)
Anna Pelagotti, Maria Gabrani, Ingrid Heynderickx, Gerton Lunter
Scalable motion compensated scan-rate upconversion. VCIP (2002)
Maria Gabrani, Christian Hentschel, Liesbeth Steffens, Reinder J. Bril
Dynamic Behavior Of Consumer Multimedia Terminals: Video Processing Aspects. ICME (2001)
Christian Hentschel, Ralph Braspenning, Maria Gabrani
Scalable algorithms for media processing. ICIP (3) (2001)
Maria Gabrani, Oleh J. Tretiak
Surface-based matching using elastic transformations. Pattern Recognit. 32 (1) (1999)
Maria Gabrani, Oleh J. Tretiak
Cross individual model-based alignment of volumetric images. NMBIA (1998)
Maria Gabrani, Oleh J. Tretiak
A Novel Interpolation Problem: Surface based Matching. ICIP (1) (1998)
Constantine Kotropoulos, Ioannis Pitas, Maria Gabrani
Multichannel adaptive L-filters in color image filtering. ICIP (1) (1996)
Maria Gabrani, Constantine Kotropoulos, Ioannis Pitas
Cellular LMS L-filters for Noise Suppression in Still Images and Image Sequences. ICIP (1) (1994)