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Maria Gabrani
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2020 – today
- 2024
- [j12]Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel:
Generative feature-driven image replay for continual learning. Image Vis. Comput. 150: 105187 (2024) - [j11]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): 455-474 (2024) - [c36]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. CaPTion@MICCAI 2024: 167-175 - [i19]Mustafa 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 abs/2401.02879 (2024) - [i18]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 abs/2407.00438 (2024) - 2023
- [j10]Pushpak Pati
Weakly supervised joint whole-slide segmentation and classification in prostate cancer. Medical Image Anal. 89: 102915 (2023) - [i17]Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. CoRR abs/2301.02933 (2023) - 2022
- [j9]Nadia Brancati
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. Database J. Biol. Databases Curation 2022(2022) (2022) - [j8]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
Hierarchical graph representations in digital pathology. Medical Image Anal. 75: 102264 (2022) - [c35]Kevin Thandiackal
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. ECCV (21) 2022: 699-715 - [e2]Siva Teja Kakileti
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13602, Springer 2022, ISBN 978-3-031-19659-1 [contents] - [i16]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 abs/2204.12454 (2022) - 2021
- [j7]Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks. Medical Image Anal. 67: 101859 (2021) - [j6]Jannis Born
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(6): 100269 (2021) - [j5]Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(8): 100330 (2021) - [c34]Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani:
Histocartography: a pipeline for histology image analysis. AMIA 2021 - [c33]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro
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: 133-140 - [c32]Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. COMPAY@MICCAI 2021: 117-128 - [c31]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR 2021: 8106-8116 - [c30]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) 2021: 636-646 - [c29]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: 1-7 - [e1]Cristina Oyarzun Laura, M. Jorge Cardoso
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - [i15]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 abs/2102.11057 (2021) - [i14]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 abs/2103.03129 (2021) - [i13]Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini, Maria Gabrani, Orcun Goksel:
Match What Matters: Generative Implicit Feature Replay for Continual Learning. CoRR abs/2106.05350 (2021) - [i12]Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. CoRR abs/2107.10073 (2021) - [i11]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 abs/2111.04740 (2021) - 2020
- [c28]Matthew Pediaditis, Anca-Nicoleta Ciubotaru, Thomas Brunschwiler, Peter Hilfiker, Thomas Grunwald, Marcellina Häberlin, Lukas L. Imbach, Carl Muroi, Christian Strässle, Emanuela Keller, Maria Gabrani:
Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings. AMIA 2020 - [c27]Matthew Pediaditis, Anca-Nicoleta Ciubotaru, Thomas Brunschwiler, Maria Gabrani:
Personalized Assessment of Arousal and Valence from Videos. ICHI 2020: 1-8 - [c26]Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. ISBI 2020: 486-489 - [c25]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
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI 2020: 208-219 - [i10]Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani:
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. CoRR abs/2006.09772 (2020) - [i9]Ting-An Yen, Hung-Chun Hsu, Pushpak Pati, Maria Gabrani, Antonio Foncubierta-Rodríguez, Pau-Choo Chung:
NINEPINS: Nuclei Instance Segmentation with Point Annotations. CoRR abs/2006.13556 (2020) - [i8]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 abs/2007.00311 (2020) - [i7]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 abs/2007.00584 (2020) - [i6]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 abs/2011.12646 (2020)
2010 – 2019
- 2019
- [j4]Nuri Murat Arar
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization. IEEE Trans. Biomed. Eng. 66(10): 2952-2963 (2019) - [c24]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: 406-414 - [c23]Pushpak Pati, Raúl Catena, Orcun Goksel
A deep learning framework for context-aware mitotic activity estimation in whole slide images. Medical Imaging: Digital Pathology 2019: 1095609 - [i5]Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. CoRR abs/1904.08745 (2019) - [i4]Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani:
Revisiting Few-Shot Learning for Facial Expression Recognition. CoRR abs/1912.02751 (2019) - 2018
- [c22]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: 424-436 - [c21]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: 1058107 - [i3]Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani:
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR abs/1811.03830 (2018) - 2017
- [c20]Matheus P. Viana, Quoc-Bao Nguyen, John R. Smith, Maria Gabrani:
Multimodal Classification of Document Embedded Images. GREC 2017: 45-53 - [c19]Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Costas Bekas, Maria Gabrani:
Extracting Information from Molecular Pathway Diagrams. GREC 2017: 99-114 - [c18]Waleed Farrukh, Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orçun Göksel, Maria Gabrani:
Interpreting Data from Scanned Tables. GREC@ICDAR 2017: 5-6 - [c17]Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Costas Bekas, Maria Gabrani:
Extracting Interactions from Molecular Pathways. GREC@ICDAR 2017: 11-12 - [c16]Erwan Zerhouni, Bogdan Prisacari, Qing Zhong
Disease grading of heterogeneous tissue using convolutional autoencoder. ISBI 2017: 596-599 - [c15]Erwan Zerhouni, David Lanyi, Matheus P. Viana, Maria Gabrani:
Wide residual networks for mitosis detection. ISBI 2017: 924-928 - [c14]Nuri Murat Arar, Pushpak Pati, Aditya Kashyap
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining. MICCAI (2) 2017: 48-55 - [c13]Erwan Zerhouni, Bogdan Prisacari, Qing Zhong
Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder. Medical Imaging: Digital Pathology 2017: 101400P - [i2]Erwan Zerhouni, Bogdan Prisacari, Maria Gabrani, Qing Zhong, Peter Wild:
Computational Processing of Histological Images. ERCIM News 2017(108) (2017) - 2016
- [c12]Erwan Zerhouni, Bogdan Prisacari, Qing Zhong
A computational framework for disease grading using protein signatures. ISBI 2016: 1401-1404 - [c11]Erwan Zerhouni, Bogdan Prisacari, Qing Zhong
Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues. Medical Imaging: Digital Pathology 2016: 97910T - [i1]Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani:
Big Data Takes on Prostate Cancer. ERCIM News 2016(104) (2016) - 2014
- [j3]Virginia Estellers, Jean-Philippe Thiran
Surface Reconstruction From Microscopic Images in Optical Lithography. IEEE Trans. Image Process. 23(8): 3560-3573 (2014) - [c10]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: 198-205
2000 – 2009
- 2007
- [c9]Milos Stanisavljevic, Frank K. Gürkaynak, Alexandre Schmid
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: 204-207 - [c8]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: 4 - 2003
- [j2]Maria Gabrani, Gero Dittmann
Design methodology for a modular service-driven network processor architecture. Comput. Networks 41(5): 623-640 (2003) - 2002
- [c7]Anna Pelagotti, Maria Gabrani, Ingrid Heynderickx, Gerton Lunter:
Scalable motion compensated scan-rate upconversion. VCIP 2002: 464-474 - 2001
- [c6]Christian Hentschel, Ralph Braspenning, Maria Gabrani:
Scalable algorithms for media processing. ICIP (3) 2001: 342-345 - [c5]Maria Gabrani, Christian Hentschel, Liesbeth Steffens, Reinder J. Bril
Dynamic Behavior Of Consumer Multimedia Terminals: Video Processing Aspects. ICME 2001
1990 – 1999
- 1999
- [j1]Maria Gabrani, Oleh J. Tretiak:
Surface-based matching using elastic transformations. Pattern Recognit. 32(1): 87-97 (1999) - 1998
- [c4]Maria Gabrani, Oleh J. Tretiak:
A Novel Interpolation Problem: Surface based Matching. ICIP (1) 1998: 793-797 - [c3]Maria Gabrani, Oleh J. Tretiak:
Cross individual model-based alignment of volumetric images. NMBIA 1998: 3-8 - 1996
- [c2]Constantine Kotropoulos, Ioannis Pitas, Maria Gabrani:
Multichannel adaptive L-filters in color image filtering. ICIP (1) 1996: 989-992 - 1994
- [c1]Maria Gabrani, Constantine Kotropoulos, Ioannis Pitas:
Cellular LMS L-filters for Noise Suppression in Still Images and Image Sequences. ICIP (1) 1994: 358-362
Coauthor Index
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last updated on 2024-10-17 21:30 CEST by the dblp team
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