CBA Thesis Defences
PhD 2023
Friday December 15, 2023, at 09:00, Ångström Laboratory, Room 100155
Ankit Gupta
Adapting Deep Learning for Microscopy: Interaction, Application, and Validation
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Wednesday October 4, 2023, at 09:15, Ångström Laboratory, Room 101121
Raphaela Heil
Document Image Processing for Handwritten Text Recognition: Deep Learning-based Transliteration of Astrid Lindgren’s Stenographic Manuscripts
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Monday June 12, 2023, at 09:15, Ångström Laboratory, Room 10134
Elisabeth Wetzer
Representation Learning and Information Fusion: Applications in Biomedical Image Processing
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Friday May 12, 2023, at 09:15, Ångström Laboratory, Room 101121,
Eva Breznik
Image Processing and Analysis Methods for Biomedical Applications
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Friday April 14, 2023, at 09:15, Ångström Laboratory, room 101121
Nicolas Pielawski
Learning-based prediction, representation, and multimodal registration for bioimage processing
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PhD 2022
Friday June 3, 2022, at 09:00, Ångström Laboratory, room 101195
Håkan Wieslander
Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging
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Friday February 25, 2022, at 13:00, Ångström Laboratory, room 101195
Johan Öfverstedt
Methods for Reliable Image Registration: Algorithms, Distance Measures, and Representations
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PhD 2021
Wednesday May 12, 2021, at 13:00, Main University Building, room IX, and Zoom
Leslie Solorzano
Image Processing, Machine Learning and Visualization for Tissue Analysis
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Licentiate 2021
Wednesday December 22, 2021, at 10:15, ITC 4307 and Zoom
Karl Bengtsson Bernander
Improving Training of Deep Learning for Biomedical Image Analysis and Computational Physics
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PhD 2020
Thursday October 29, 2020, at 14:00, ITC room 4307
Gabriele Partel
Image and Data Analysis for Spatially Resolved Transcriptomics: Decrypting fine-scale spatial heterogeneity of tissue's molecular architecture
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Friday March 13, 2020, at 10:15, ITC room 2446
Fredrik Nysjö
Modeling and Visualization for Virtual Interaction with Medical Image Data
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