Image analysis seminars at Vi3
The Vi3 image analysis seminar series is hosted by the Centre for Image Analysis
(CBA) and open to everybody interested. Join us in Theatrum Visuale, room 100155, building 10, Ångström Laboratory.
Each Monday at 14:15-15:00, seminars on current research on image analysis and related topics are given by internal and external speakers. See schedule below.
The CBA seminars are announced at the weekly internal Vi3 information meeting, and also on the Dept. of IT's newsletter LäsIT https://www.it.uu.se/lesit/.
Note that extra seminars may occasionally be held at other times than mentioned above.
Welcome!
| Date | Time | Title | Speaker |
|---|---|---|---|
| 2023-01-16 | 14:15-15:00 Theatrum Visuale https://uu-se.zoom.us/my/robinstrand |
Uncertainty Estimation of Semantic Segmentation of MR-Linac Prostate Cancer Images Prostate cancer radiotherapy treatment makes use of medical deep learning methods in many steps of the workflow. Instead of focusing solely on the performance metrics of the deep learning model attention must also be given to the uncertainty of the model output. We applied the Monte Carlo dropout method for estimating the uncertainty of a semantic segmentation model of MR-Linac prostate cancer images. Concrete dropout was added to the middle layers of a simple U-Net to obtain multiple samples from a stochastic distribution for each input image. Epistemic uncertainty and predictive uncertainty were captured in uncertainty maps by using mutual information and predictive entropy. The predictive entropy maps revealed that the wrongly predicted pixels correspond to high estimated uncertainty values. |
Marissa van Lente Eindhoven University of Technology, The Netherlands |
| 2023-01-23 | 14:15-15:00 Theatrum Visuale |
Research in the micro-group I will give an overview of the research that has been going on in the 'my' research group since I joined the Dept. of IT in 2011 as lecturer in Quantitative Microscopy. I will also talk a bit about efforts to find a way forwards, including both joys and disappointments. I will also try to include a bit of ideas for the future, and I'm hoping to give you some insights to my joy for being a researcher in the multi-disciplinary domain of bioimage informatics. |
Carolina Wählby |
| 2023-01-30 | 14:15-15:00 | Uniform Polyhedra – or What’s in the Vitrines on Floor 4? The history of the 75 uniform polyhedra starts with early humans and ends 1975. In this seminar, I will tell that story. Early efforts are attributed to Plato and Archimedes – doubtful – while Johannes Kepler 1600s, Louis Poinsot 1800s, Donald Coxeter et al., 1900s really did contribute to the story. Uniform polyhedra will be defined and sorted into different types. The construction of a number of uniform polyhedra will be discussed and presented. As an extra benefit, you will also understand that most mathematicians do not die young. |
Gunilla Borgefors |
| 2023-02-06 | 14:15-15:00 | Title Abstract |
Johan Öfverstedt |
| 2023-02-13 | 14:15-15:00 | Title Abstract |
Ankit Gupta |
| 2023-02-20 | 14:15-15:00 | Title Abstract |
Natasa Sladoje |
| 2023-02-27 | 14:15-15:00 | Title Abstract |
Robin Strand |
| 2023-03-06 | 14:15-15:00 | Title Abstract |
Joakim Lindblad |
| 2023-03-13 | No seminar SSBA/SSDL Symposium |
||
| 2023-03-20 | 14:15-15:00 | Handwritten Text Recognition based on Attention Encoder-Decoder Networks for Historical Document Images The pressing need for digitization of historical document collections has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognition (HTR). Handwritten text possesses high variability due to different writing styles, languages and scripts. Training an accurate and robust HTR system calls for data-efficient approaches due to the unavailability of sufficient amounts of annotated multi-writer text. This seminar presents a recent work, called AttentionHTR, that leverages transfer learning to enable HTR in cases where training data is scarce. The proposed attention-based architecture is simple, modular, and reproducible; more data can be easily added in the pipeline, further strengthening the model’s accuracy. A case study on an ongoing project "Marginalia" will also be presented that utilizes AttentionHTR for recognition of Marginalia texts, i.e., text written in margins or handwritten notes. The data comes from early book collections found in the Uppsala University Library. |
Ekta Vats Centre for Digital Humanities |
| 2023-03-27 | 14:15-15:00 | Title Abstract PhD rehearsal |
Raphaela Heil |
| 2023-04-03 | 14:15-15:00 | Title Abstract PhD rehearsal |
Nicolas Pielawski |
| 2023-04-10 | No seminar Easter Monday |
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| 2023-04-17 | 14:15-15:00 | Title Abstract |
Can Deniz Bezek |
| 2023-04-24 | 14:15-15:00 | Title Abstract PhD rehearsal |
Eva Breznik |
| 2023-05-01 | No seminar May Day |
||
| 2023-05-08 | 14:15-15:00 | Title Abstract |
Axel Andersson |
| 2023-05-15 | No seminar EMBL-SciLifeLab Data Science Workshop |
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| 2023-05-22 | 14:15-15:00 | Title Abstract |
Nadezhda Koriakina |
| 2023-05-29 | 14:15-15:00 | Title Abstract PhD rehearsal |
Elisabeth Wetzer |
| 2023-06-05 | No seminar Bridge Day for June 6 |
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| 2023-06-12 | 14:15-15:00 | Title Abstract |
Petter Ranefall Sysmex Astrego AB |
| 2023-06-19 | 14:15-15:00 | Title Abstract |
Speaker |
Recent CBA Seminars
- CBA seminars in Spring 2022
- CBA seminars in Fall 2022