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2020 – today
- 2024
[j2]Swagata Kundu
, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. SN Comput. Sci. 5(1): 106 (2024)- 2023
- [b1]Eva Breznik:
Image Processing and Analysis Methods for Biomedical Applications. Uppsala University, Sweden, 2023 - [c4]Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - [c3]Raphaela Heil, Eva Breznik:
A Study of Augmentation Methods for Handwritten Stenography Recognition. IbPRIA 2023: 134-145 - [c2]Eva Breznik, Joel Kullberg, Håkan Ahlström, Robin Strand:
Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI. SCIA (2) 2023: 214-228 - [i5]Raphaela Heil, Eva Breznik:
A Study of Augmentation Methods for Handwritten Stenography Recognition. CoRR abs/2303.02761 (2023) - [i4]Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i3]Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand:
Leveraging point annotations in segmentation learning with boundary loss. CoRR abs/2311.03537 (2023) - 2022
- [i2]Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje:
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. CoRR abs/2201.03597 (2022) - 2021
- [j1]Igor Tominec, Eva Breznik:
An unfitted RBF-FD method in a least-squares setting for elliptic PDEs on complex geometries. J. Comput. Phys. 436: 110283 (2021) - 2020
- [c1]Robin Strand, Simon Ekström, Eva Breznik, Therese Sjöholm, Martino Pilia, Lars Lind, Filip Malmberg, Håkan Ahlström, Joel Kullberg:
Recent advances in large scale whole body MRI image analysis: Imiomics. SIET 2020: 10-15 - [i1]Igor Tominec, Eva Breznik:
An unfitted RBF-FD method in a least-squares setting for elliptic PDEs on complex geometries. CoRR abs/2007.07775 (2020)
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