News
04-29-2023 — New publication in IEEE TMI
Jakob Häusele from the Chair of Biomedical Physics has published a new paper in IEEE TMI (IF 10.05). In this work, with involvement from Tobias Lasser, a novel processing pipeline for a clinical dark-field computed tomography scanner is presented.
Related publications:
- Advanced Phase-Retrieval for Stepping-Free X-Ray Dark-Field Computed Tomography. IEEE Transactions on Medical Imaging , 2023 DOI
04-15-2023 — Four presentations at Fully3D 2023
Our group will be presenting several contributions at this year's Fully3D on July 16-21, 2023, in Stony Brook, USA.
From CIIP directly, we will present works on our open-source software library elsa and deep learning methods for sparse X-ray computed tomography, as well as on spherical acquisitions for robotic X-ray CT systems.
In collaboration with our partners from the Chair of Biomedical Physics, we will present one work on dark-field imaging on a clinical X-ray CT system.
Related publications:
- An update to elsa - an elegant framework for tomographic reconstruction. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
- Translating sparse sinogram measurements into reconstruction patches without geometry information via the attention mechanism. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
- Spherical acquisition trajectories for X-ray Computed Tomography with a robotic sample holder. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
- X-ray Dark-Field Imaging at the Human Scale: Helical Computed Tomography and Surview Imaging. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
03-01-2023 — New publication in Radiology AI
Alessandro Wollek has published a new paper in the journal Radiology: Artificial Intelligence. In this work, we investigate chest radiograph classification performance of vision transformers and interpretability of attention-based saliency using the example of pneumothorax classification.
Related publications:
- Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification. Radiology: Artificial Intelligence 5, 2023 DOI
01-27-2023 — New publication in IEEE TCI
Theodor Cheslerean-Boghiu has published a new paper in the journal IEEE Transactions on Computational Imaging. In this work, we present a dual-domain hybrid technique for reconstructing sparse X-ray CT acquisitions, where we use both deep learning and known physical operators.
Related publications:
- WNet: A Data-driven Dual-domain Denoising Model for Sparse-view Computed Tomography with a Trainable Reconstruction Layer. IEEE Transactions on Computational Imaging 9, 2023 DOI
01-06-2023 — New publication in JEADV
Dr. Maximilian Schielein and Joshua Christl from the Department of Dermatology and Allergy of the Klinikum rechts der Isar have published a new paper in JEADV (IF 6.17). In this work, with involvement from Tobias Lasser, a deep learning technique for outlier detection in binary classification of non-melanoma skin diseases in dermatology is presented.
Related publications:
- Outlier Detection in Dermatology: Performance of different Convolutional Neural Networks for Binary Classification of Inflammatory Skin Diseases. Journal of the European Academy of Dermatology and Venereology 9, 2023 DOI
11-11-2022 — New publication in IEEE TMI
Clemens Schmid from the Chair of Biomedical Physics has published a new paper in IEEE TMI (IF 10.05). In this work, with involvement from Tobias Lasser, a novel processing pipeline for a clinical dark-field computed tomography scanner is presented.
Related publications:
- Modeling vibrations of a tiled Talbot-Lau interferometer on a clinical CT. IEEE Transactions on Medical Imaging 42, 2022 DOI
08-05-2022 — New publication in ERX
Erdal Pekel has published a new paper in the journal Engineering Research Express. In this work, we present an X-ray computed tomography system with a seven degree of freedom robotic sample holder.
Related publications:
- X-ray computed tomography with seven degree of freedom robotic sample holder. Engineering Research Express 4, 2022 DOI
07-25-2022 — New publication in JEADV
Dr. Sebastian Krammer from the Department of Dermatology and Allergy of the LMU Klinikum has published a new paper in JEADV (IF 6.17). In this work, with involvement from Peng Tang and Tobias Lasser, a deep learning technique for the classification of dermatological lesions is presented when only a limited amount of labeled training data is available.
Related publications:
- Deep learning-based classification of dermatological lesions given a limited amount of labeled data. Journal of the European Academy of Dermatology and Venereology 36, 2022 DOI
07-12-2022 — Three presentations at IEEE MIC 2022
Our partners from the Chair of Biomedical Physics will present several joint works on dark-field imaging using a clinical X-ray CT system at this year's IEEE Medical Imaging Conference from November 5-12, 2022, in Milano, Italy.
Related publications:
- Performance and Potential of Human Sized Dark-Field CT Based on Recent Results. IEEE Medical Imaging Conference, Milano, Italy, November, 2022
- Modelling vibrations of a Talbot-Lau interferometer with tiled analyzer grating on a clinical CT system. IEEE Medical Imaging Conference, Milano, Italy, November, 2022
- Sample Data Processing of the First Clinical Dark-Field CT Prototype. IEEE Medical Imaging Conference, Milano, Italy, November, 2022
05-04-2022 — New publication in JEADV
Theresa Willem from the Institut für Geschichte und Ethik der Medizin has published a new paper in JEADV (IF 6.17). In this work, with involvement from Tobias Lasser, the risks and benefits of machine learning healthcare applications in dermatology are analyzed from an ethical view point.
Related publications:
- Risks and benefits of dermatological machine learning healthcare applications - an overview an ethical analysis. Journal of the European Academy of Dermatology and Venereology 36, 2022 DOI
04-13-2022 — Five presentations at CT Meeting 2022
Our group will be presenting several contributions at this year's CT Meeting on June 13-16, 2022, in Baltimore, USA.
From CIIP directly, we will present works on a hybrid reconstruction method using shearlets and deep learning for sparse X-ray computed tomography, as well as on calibration methods for X-ray CT systems with robotic sample holders.
In collaboration with our partners from the Chair of Biomedical Physics, we will present several works on dark-field imaging on a clinical X-ray CT system.
Related publications:
- Hybrid Reconstruction Using Shearlets and Deep Learning for Sparse X-ray Computed Tomography. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
- Geometric calibration of seven degree of freedom Robotic Sample Holder for X-ray CT. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
- Dark-Field Imaging on a Clinical CT System: Performance and Potential based on first Results. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
- Dark-Field Imaging on a Clinical CT System: Modelling of Interferometer Vibrations. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
- Dark-Field Imaging on a Clinical CT System: Sample Data Processing and Reconstruction. International Conference on Image Formation in X-ray Computed Tomography (CT Meeting), Baltimore, USA, June, 2022 DOI
04-08-2022 — PhD defense of Anca Stefanoiu
On April 8, 2022, at 9:00, our own Anca Stefanoiu defends her PhD. Her thesis has the topic Fluorescence light field microscopy: wave optics modeling and 3D image reconstruction.
03-21-2022 — Course in Ferienakademie 2022
Together with Christian Riess from FAU Erlangen, we are again offering a course on Computational Medical Imaging in the Ferienakademie 2022 from September 18 to 30, 2022, in Sarntal Valley, South Tyrol, Italy.
If you want to take part, please apply until May 10, 2022.
02-08-2022 — New publication in PNAS
Manuel Viermetz from the Chair of Biomedical Physics has published a new paper in PNAS (IF 11.2). In this work, with involvement from Tobias Lasser, a novel implementation of a clinical dark-field computed tomography scanner is presented.
The corresponding TUM press release on Feb. 8, 2022.
Related publications:
- Dark-field computed tomography reaches the human scale. Proceedings of the National Academy of Sciences of the United States of America 119, 2022 DOI
11-23-2021 — New publication in Medical Image Analysis
Peng Tang has published a new paper in the journal Medical Image Analysis (IF 8.55). It presents a new multi-stage multi-modal learning algorithm for multi-label skin lesion classification.
Update: There was a corresponding TUM press release on Jan. 14, 2022.
Related publications:
- FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Analysis 76, 2022 DOI
10-06-2021 — Student tutors wanted for BMT
We are UPDATE: no longer (since all positions have been filled) looking for student tutors for our course Basic Mathematical Tools for Imaging and Visualization in the winter term 2021/22. The job is 8h or 16h/week during the lecture period and involves the correction of homework.
If you are interested, please get in touch with Tobias Lasser.
For general information on student tutor jobs, please check out the department website.
07-23-2021 — Best Poster Award: Fully3D 2021
Ana Radutoiu won a best poster award at the Fully3D 2021 conference.
At the 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Ana Radutoiu won the panel poster award for her poster on Laplace-Beltrami Regularization for Anisotropic X-ray Dark-field Tomography. Her work arose from her Bachelor thesis at Computational Imaging and Inverse Problems (CIIP).
06-17-2021 — CeDoSIA Supervisory Award 2021
Tobias Lasser won the CeDoSIA Supervisory Award 2021.
The Center of Doctoral Studies in Informatics and its Applications (CeDoSIA) honors the best doctoral supervisors at the Department of Informatics, TUM. In 2021, Tobias Lasser won the first place of the award.
06-17-2021 — TeachInf Award 2021
The course Grundlagen: Algorithmen und Datenstrukturen won the TeachInf Award for the best compulsory course in the summer term 2020.
The Student Council of the Departments of Mathematics, Physics, and Informatics honors the best courses each term according to the course evaluations conducted by the Student Council. The course Grundlagen: Algorithmen und Datenstrukturen by Tobias Lasser, Bernhard Radke, Christoph Anneser, and Sebastian Wolf won the TeachInf award for the best compulsory course in the summer term 2020 at the Department of Informatics.
07-24-2020 — TeachInf Corona Award 2020
Tobias Lasser was awarded the TeachInf "Corona" Award for enabling excellent teaching during the pandemic by the Student Council of the Departments of Mathematics, Physics, and Informatics.