Research output per year
Research output per year
Personal profile
Research interests
- Biomedical Imaging Analysis
- Computer Vision
- Deep Learning
Fingerprint
Dive into the research topics where Tamar Riklin Raviv is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Boundary-Aware Instance Segmentation in Microscopy Imaging
Mendelson, T., Francois, J., Lahav, G. & Raviv, T. R., 1 Jan 2026, ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging. Institute of Electrical and Electronics Engineers, (Proceedings - International Symposium on Biomedical Imaging; vol. 2026-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Decoding Functional Networks for Visual Categories via GNNs
Karmi, S., Avidan, G. & Raviv, T. R., 1 Jan 2026, ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging. Institute of Electrical and Electronics Engineers, (Proceedings - International Symposium on Biomedical Imaging; vol. 2026-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep Image Decomposition for Medical Imaging Anonymization and Curation
Elkin, Y., Ben-Arie, G. & Riklin-Raviv, T., 1 Jan 2026, Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026. Institute of Electrical and Electronics Engineers, p. 7229-7238 10 p. (Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis
Serebro, D. & Riklin-Raviv, T., 1 Jan 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 251-261 11 p. (Lecture Notes in Computer Science; vol. 15964 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
QANet: A Neural Framework for Quality Assessment of Instance Segmentation in Microscopy Imaging
Aharoni, A., Arbelle, A., Sidorov, M., Elul, E. & Raviv, T. R., 1 Jan 2026, In: IEEE Open Journal of Signal Processing. 7, p. 659-667 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling
ADNI, 1 May 2025, In: Medical Image Analysis. 102, 103503.Research output: Contribution to journal › Article › peer-review
Open Access20 Scopus citations -
Serum Galectin-9 and Decorin in relation to brain aging and the green-Mediterranean diet: A secondary analysis of the DIRECT PLUS randomized trial
Pachter, D., Yaskolka Meir, A., Kaplan, A., Tsaban, G., Zelicha, H., Rinott, E., Levakov, G., Finkelstein, O., Shelef, I., Salti, M., Beyer, F., Witte, V., Klöting, N., Isermann, B., Ceglarek, U., Riklin Raviv, T., Blüher, M., Stumvoll, M., Wang, D. D. & Hu, F. B. & 3 others, , 1 Oct 2025, In: Clinical Nutrition. 53, p. 99-108 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Benou, I. & Raviv, T. R., 1 Jan 2025, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 30063-30072 10 p.Research output: Contribution to journal › Conference article › peer-review
5 Scopus citations -
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
Shwartzman, O., Gazit, H., Ben-Aryeh, G., Shalef, I. & Raviv, T. R., 1 Jan 2025, Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2024 - Medical Imaging and Computer-Aided Diagnosis. Su, R., Frangi, A. F. & Zhang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 463-473 11 p. (Lecture Notes in Electrical Engineering; vol. 1372 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
Waizman, I., Gusakov, Y., Benou, I. & Riklin Raviv, T., 19 Sep 2025, arXiv, 11 p.Research output: Working paper/Preprint › Preprint
Datasets
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Cell Tracking Challenge 2024
Kozubek, M. (Creator), Cunha, A. (Creator), Maska, M. (Creator), Meijering, E. (Creator), Muñoz-Barrutia, A. (Creator), Ortiz de Solórzano, C. (Creator), Riklin-Raviv, T. (Creator), Stegmaier, J. (Creator) & Uhlmann, V. (Creator), ZENODO, 21 Feb 2024
DOI: 10.5281/zenodo.10687042, https://zenodo.org10687042
Dataset