Michael Tschannen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Zachary C. LiptonAnima AnandkumarTommaso FurlanelloLaurent IttiFabian MentzerLuc Van GoolLuca BeniniLukas Cavigelli
- Topics
- Generative Adversarial Networks and Image Synthesis (6 papers)Advanced Neural Network Applications (5 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Journals
- IEEE Transactions on Signal ProcessingInternational Journal of Radiation Oncology*Biology*PhysicsMedical Image Analysis
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Michael Tschannen
25 papers receiving 480 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 276
- Artificial Intelligence 198
- Signal Processing 82
- Pulmonary and Respiratory Medicine 74
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Michael Tschannen
This map shows the geographic impact of Michael Tschannen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Tschannen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tschannen more than expected).
Fields of papers citing papers by Michael Tschannen
This network shows the impact of papers produced by Michael Tschannen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Tschannen. The network helps show where Michael Tschannen may publish in the future.
Co-authorship network of co-authors of Michael Tschannen
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tschannen. A scholar is included among the top collaborators of Michael Tschannen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Tschannen. Michael Tschannen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 43 | |
| 3 | 9 | |
| 4 | On Mutual Information Maximization for Representation Learning | 15 |
| 5 | Disentangling Factors of Variations Using Few Labels | 21 |
| 6 | Automatic Shortcut Removal for Self-Supervised Representation Learning | 2 |
| 7 | Weakly-Supervised Disentanglement Without Compromises | 4 |
| 8 | High-Fidelity Image Generation With Fewer Labels | 16 |
| 9 | The Visual Task Adaptation Benchmark | 22 |
| 10 | Born Again Neural Networks | 109 |
| 11 | Towards Image Understanding from Deep Compression without Decoding | 4 |
| 12 | Extreme Learned Image Compression with GANs | 7 |
| 13 | StrassenNets: Deep Learning with a Multiplication Budget. | 2 |
| 14 | Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. | 10 |
| 15 | Soft-to-hard vector quantization for end-to-end learning compressible representations | 77 |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 73 | |
| 20 | Single Marker Localization for Automatic Patient Registration in Interventional Radiology | 2 |
About Michael Tschannen
Michael Tschannen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 26 papers that have together received 502 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (276 citations), Signal Processing (82 citations) and Artificial Intelligence (198 citations). Michael Tschannen has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Zachary C. Lipton, Anima Anandkumar, Tommaso Furlanello, Laurent Itti, Fabian Mentzer, Luc Van Gool, Luca Benini, Lukas Cavigelli, Radu Timofte and Eirikur Agustsson. Their work appears in journals such as IEEE Transactions on Signal Processing, International Journal of Radiation Oncology*Biology*Physics and Medical Image Analysis.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.