Research ExplorerScientific StaffRene Werner Publications

Dr.rer.nat. ID: 41291

Rene Werner

graph of relations
Affiliations
1 - 50 out of 125Page size: 50

Publications

  1. 2024

  2. Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches

    Jühling, D., Rajashekar, D., Cheng, B., Hilgetag, C. C., Forkert, N. D. & Werner, R., 17.01.2024, In: FRONT NEUROSCI-SWITZ. 18, p. 1296357

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  3. DARTS: an open-source Python pipeline for Ca2+ microdomain analysis in live cell imaging data

    Woelk, L-M., Kovacevic, D., Husseini, H., Förster, F., Gerlach, F., Möckl, F., Altfeld, M., Guse, A. H., Diercks, B-P. & Werner, R., 11.01.2024, In: FRONT IMMUNOL. 14, p. 1299435

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  4. Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images: DECO-DIP

    Meyer, L., Woelk, L-M., Gee, C., Lohr, C., Arcot Kannabiran, S., Diercks, B-P. & Werner, R., 2024, Bildverarbeitung für die Medizin 2024: Proceedings, German Conference on Medical Image Computing, Erlangen, March 10–12, 2024. Maier, A., Deserno, TM., Handels, H., Maier-Hein, K., Palm, C. & Tolxdorff, TM. (eds.). 1 ed. Springer Vieweg, p. 322-327 6 p. (Informatik Aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  5. Time-resolved role of P2X4 and P2X7 during CD8+ T cell activation

    Brock, V. J., Lory, N. C., Möckl, F., Birus, M., Stähler, T., Woelk, L-M., Jaeckstein, M., Heeren, J., Koch-Nolte, F., Rissiek, B., Mittrücker, H-W., Guse, A. H., Werner, R. & Diercks, B-P., 2024, In: FRONT IMMUNOL. 15, p. 1258119

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  6. 2023

  7. Dose reduction in sequence scanning 4D CT imaging through respiratory signal-guided tube current modulation: A feasibility study

    Schwarz, A., Werner, R., Wimmert, L., Vornehm, M., Gauer, T. & Hofmann, C., 12.2023, In: MED PHYS. 50, 12, p. 7539-7547 9 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  8. Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class

    Nielsen, M., Wenderoth, L., Sentker, T. & Werner, R., 28.07.2023, In: BIOENGINEERING-BASEL. 10, 8, 14 p., 895.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  9. Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT

    Werner, R., Szkitsak, J., Madesta, F., Büttgen, L., Wimmert, L., Sentker, T., Fietkau, R., Haderlein, M., Bert, C., Gauer, T. & Hofmann, C., 07.2023, In: STRAHLENTHER ONKOL. 199, 7, p. 686-691 6 p.

    Research output: SCORING: Contribution to journal › Short publication › Research › peer-review

  10. Adhesion to laminin-1 and collagen IV induces the formation of Ca2+ microdomains that sensitize mouse T cells for activation

    Weiß, M., Hernandez, L. C., Gil Montoya, D. C., Löhndorf, A., Krüger, A., Kopdag, M., Uebler, L., Landwehr, M., Nawrocki, M., Huber, S., Woelk, L-M., Werner, R., Failla, A. V., Flügel, A., Dupont, G., Guse, A. H. & Diercks, B-P., 20.06.2023, In: SCIENCE SIGNALING. 16, 790, p. eabn9405

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  11. Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators

    Wallrodt, M., Schulz-Alsen, M., Ehlken, H., Rösch, T., Schmitz, R. & Werner, R., 02.06.2023, Bildverarbeitung für die Medizin 2023: Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Deserno, T. M., Handels, H., Maier, A., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). 1 ed. Springer Vieweg, p. 3-8 6 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  12. Label Efficient Classification in Liquid Biopsy Data by Self-supervision

    Husseini, H., Nielsen, M., Pantel, K., Wikman, H., Riethdorf, S. & Werner, R., 02.06.2023, Bildverarbeitung für die Medizin 2023: Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Deserno, T. M., Handels, H., Maier, A., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). 1 ed. Springer Vieweg, p. 261-266 6 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  13. Discordant and Converting Receptor Expressions in Brain Metastases from Breast Cancer: MRI-Based Non-Invasive Receptor Status Tracking

    Heitkamp, A., Madesta, F., Amberg, S., Wahaj, S., Schröder, T., Bechstein, M., Meyer, L., Broocks, G., Hanning, U., Gauer, T., Werner, R., Fiehler, J., Gellißen, S. & Kniep, H. C., 23.05.2023, In: CANCERS. 15, 11, 2880.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  14. 2022

  15. Dekonvolution von Mikroskopiedaten bei niedrigem Signal-Rausch-Verhältnis

    Woelk, L-M., Diercks, B-P. & Werner, R., 11.2022, In: BIOspektrum. 2022, 28, p. 720-722

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  16. Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1

    Ristow, I., Madesta, F., Well, L., Shenas, F. Y., Wright, F., Molwitz, I., Farschtschi, S., Bannas, P., Adam, G., Mautner, V. F., Werner, R. & Salamon, J., 03.10.2022, In: NEURO-ONCOLOGY. 24, 10, p. 1790-1798 9 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  17. Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten

    Schüttler, S., Madesta, F., Rösch, T., Werner, R. & Schmitz, R., 05.04.2022, Informatik aktuell: Bildverarbeitung für die Medizin. Klaus, M-H., Deserno, T. M., Handels, H., Maier, A., Palm, C. & Tolxdorff, T. (eds.). 1 ed. Wiesbaden: Springer Vieweg, p. 339-344 6 p. (Bildverarbeitung für die Medizin 2022).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  18. Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies

    Schmitz, R., Werner, R., Repici, A., Bisschops, R., Meining, A., Zornow, M., Messmann, H., Hassan, C., Sharma, P. & Rösch, T., 03.2022, In: GUT. 71, 3, p. 451-454 4 p.

    Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research

  19. P2X4 and P2X7 are essential players in basal T cell activity and Ca2+ signaling milliseconds after T cell activation

    Brock, V. J., Wolf, I. M. A., Er-Lukowiak, M., Lory, N., Stähler, T., Woelk, L-M., Mittrücker, H-W., Müller, C. E., Koch-Nolte, F., Rissiek, B., Werner, R., Guse, A. H. & Diercks, B-P., 04.02.2022, In: SCI ADV. 8, 5, eabl9770.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  20. 2021

  21. Dual NADPH oxidases DUOX1 and DUOX2 synthesize NAADP and are necessary for Ca2+ signaling during T cell activation

    Gu, F., Krüger, A., Roggenkamp, H. G., Alpers, R., Lodygin, D., Jaquet, V., Möckl, F., Hernandez C, L. C., Winterberg, K., Bauche, A., Rosche, A., Grasberger, H., Kao, J. Y., Schetelig, D., Werner, R., Schröder, K., Carty, M., Bowie, A. G., Huber, S., Meier, C., Mittrücker, H-W., Heeren, J., Krause, K-H., Flügel, A., Diercks, B-P. & Guse, A. H., 16.11.2021, In: SCIENCE SIGNALING. 14, 709, eabe3800.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  22. Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle Study

    Nielsen, M., Waldmann, M., Frölich, A. M., Flottmann, F., Hristova, E., Bendszus, M., Seker, F., Fiehler, J., Sentker, T. & Werner, R., 11.2021, In: STROKE. 52, 11, p. 3497-3504 8 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  23. Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2+ Fluorescence Microscopy Data

    Woelk, L-M., Kannabiran, S. A., Brock, V. J., Gee, C. E., Lohr, C., Guse, A. H., Diercks, B-P. & Werner, R., 30.10.2021, In: INT J MOL SCI. 22, 17 p., 11792.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  24. First clinical evaluation of breathing controlled four-dimensional computed tomography imaging

    Szkitsak, J., Werner, R., Fernolendt, S., Schwarz, A., Ott, O. J., Fietkau, R., Hofmann, C. & Bert, C., 10.2021, In: PHYS IMAG RADIAT ONC. 20, p. 56-61 6 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  25. Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture

    Schmitz, R., Madesta, F., Nielsen, M., Krause, J., Steurer, S., Werner, R. & Rösch, T., 05.2021, In: MED IMAGE ANAL. 70, p. 101996 14 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  26. Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy

    Hadaeghi, F., Diercks, B-P., Schetelig, D., Damicelli, F., Wolf, I. M. A. & Werner, R., 15.04.2021, In: SCI REP-UK. 11, 1, 8233.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  27. HN1L/JPT2: A signaling protein that connects NAADP generation to Ca2+ microdomain formation

    Roggenkamp, H. G., Khansahib, I., Hernandez C, L. C., Zhang, Y., Lodygin, D., Krüger, A., Gu, F., Möckl, F., Löhndorf, A., Wolters, V., Woike, D., Rosche, A., Bauche, A., Schetelig, D., Werner, R., Schlüter, H., Failla, A. V., Meier, C., Fliegert, R., Walseth, T. F., Flügel, A., Diercks, B-P. & Guse, A. H., 23.03.2021, In: SCI SIGNAL. 14, 675

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  28. Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: a first comprehensive phantom study

    Werner, R., Szkitsak, J., Sentker, T., Madesta, F., Schwarz, A., Fernolendt, S., Vornehm, M., Gauer, T., Bert, C. & Hofmann, C., 08.01.2021, In: PHYS MED BIOL. 66, 1, 10 p., 015004.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  29. PAIP 2019: Liver cancer segmentation challenge

    Kim, Y. J., Jang, H., Lee, K., Park, S., Min, S-G., Hong, C., Park, J. H., Lee, K., Kim, J., Hong, W., Jung, H., Liu, Y., Rajkumar, H., Khened, M., Krishnamurthi, G., Yang, S., Wang, X., Han, C. H., Kwak, J. T., Ma, J., Tang, Z., Marami, B., Zeineh, J., Zhao, Z., Heng, P-A., Schmitz, R., Madesta, F., Rösch, T., Werner, R., Tian, J., Puybareau, E., Bovio, M., Zhang, X., Zhu, Y., Chun, S. Y., Jeong, W-K., Park, P. & Choi, J., 01.2021, In: MED IMAGE ANAL. 67, p. 101854 16 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  30. Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning

    Baltruschat, I. M., Szwargulski, P., Griese, F., Grosser, M., Werner, R. & Knopp, T., 2021, Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021. Palm, C., Handels, H., Maier-Hein, K., Deserno, T. M., Maier, A. & Tolxdorff, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 337 1 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › Conference contribution - Article for conference › Research › peer-review

  31. Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy

    Li, D., Wang, G., Werner, R., Xie, H., Guan, J-S. & Hilgetag, C-C., 2021, In: FRONT NEUROINFORM. 15, p. 674439 674439.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  32. 2020

  33. Digital Health meets Hamburg integrated medical degree program iMED: Concept and introduction of the new interdisciplinary 2nd track Digital Health

    Werner, R., Henningsen, M., Schmitz, R., Guse, A. H., Augustin, M. & Gauer, T., 16.11.2020, In: GMS Journal for Medical Education. 37, 6, p. Doc61 10 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Education › peer-review

  34. Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction

    Madesta, F., Sentker, T., Gauer, T. & Werner, R., 11.2020, In: MED PHYS. 47, 11, p. 5619-5631 13 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  35. Künstliche Intelligenz in der Medizin

    Werner, R. & Schmitz, R., 21.10.2020, Digitale Medizin. Matusiewicz, D., Henningsen, M. & Ehlers, J. P. (eds.). 1 ed. Medizinisch Wissenschaftliche Verlagsgesellschaft, p. 125-138 14 p.

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  36. 3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning

    Baltruschat, I. M., Szwargulski, P. K., Griese, F., Grosser, M., Werner, R. & Knopp, T., 10.2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II. 1 ed. Springer Nature Switzerland, p. 74-82 9 p. (Lecture Notes in Computer Science (LNCS); no. 12262).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  37. Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring

    Nielsen, M., Waldmann, M., Sentker, T., Frölich, A., Fiehler, J. & Werner, R., 10.2020, MICCAI 2020. 1 ed. Springer Nature Switzerland, Vol. 12266. p. 86-96 11 p. (Lecture Notes in Computer Science (LNCS)).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  38. Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies

    Madesta, F., Schmitz, R., Rösch, T. & Werner, R., 10.2020, MICCAI 2020. 1 ed. Springer Nature Switzerland, Vol. 12264. p. 289-298 10 p. (Lecture Notes in Computer Science (LNCS)).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  39. 4D CT image artifacts affect local control in SBRT of lung and liver metastases

    Sentker, T., Schmidt, V., Ozga, A-K., Petersen, C., Madesta, F., Hofmann, C., Werner, R. & Gauer, T., 07.2020, In: RADIOTHER ONCOL. 148, p. 229-234 6 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  40. Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT

    Werner, R., Sentker, T., Madesta, F., Schwarz, A., Vornehm, M., Gauer, T. & Hofmann, C., 06.2020, In: MED PHYS. 47, 6, p. 2408-2412 5 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  41. Technological quality requirements for stereotactic radiotherapy: Expert review group consensus from the DGMP Working Group for Physics and Technology in Stereotactic Radiotherapy

    Schmitt, D., Blanck, O., Gauer, T., Fix, M. K., Brunner, T. B., Fleckenstein, J., Loutfi-Krauss, B., Manser, P., Werner, R., Wilhelm, M-L., Baus, W. W. & Moustakis, C., 05.2020, In: STRAHLENTHER ONKOL. 196, 5, p. 421-443 23 p.

    Research output: SCORING: Contribution to journal › SCORING: Review article › Research

  42. Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca2+ Fluorescence Microscopy

    Hadäghi, F., Diercks, B-P., Wolf, I. & Werner, R., 01.04.2020, In: Proc IEEE ISBI 2020. 1, p. 1587-1591 5 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  43. Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions

    Weller, D., Salamon, J. M., Frölich, A., Möddel, M., Knopp, T. & Werner, R., 02.2020, In: CARDIOVASC INTER RAD. 43, 2, p. 322-330 9 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  44. Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

    Gessert, N., Sentker, T., Madesta, F., Schmitz, R., Kniep, H., Baltruschat, I., Werner, R. & Schlaefer, A., 02.2020, In: IEEE T BIO-MED ENG. 67, 2, p. 495-503 9 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  45. Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven (reprint Z Gastroenterol 2019; 57(06): 767-780)

    Schmitz, R., Werner, R. & Rösch, T., 2020, In: Endo-Praxis. 2020, 36, p. 30-43

    Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research

  46. Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

    Gessert, N., Nielsen, M., Shaikh, M., Werner, R. & Schlaefer, A., 2020, In: METHODSX. 7, 7, p. 100864 8 p., 100864.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  47. 2019

  48. Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation

    Werner, R., Sentker, T., Madesta, F., Gauer, T. & Hofmann, C., 13.08.2019, In: MED PHYS. 46, 8, p. 3462-3474 13 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  49. Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven

    Schmitz, R., Werner, R. & Rösch, T., 06.2019, In: Z GASTROENTEROL. 57, 6, p. 767-780 14 p.

    Research output: SCORING: Contribution to journal › SCORING: Review article › Research

  50. Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning

    Li, D., Zavaglia, M., Wang, G., Xie, H., Hu, Y., Werner, R., Guan, J-S. & Hilgetag, C. C., 15.05.2019, In: SCI REP-UK. 9, 1, p. 7424

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  51. Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction

    Madesta, F., Gauer, T., Sentker, T. & Werner, R., 15.03.2019, Medical Imaging 2019: Image Processing. 1 ed. SPIE , Vol. 10949. p. 1094902 6 p.

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  52. Toward employing the full potential of magnetic particle imaging: exploring visualization techniques and clinical use cases for real-time 3D vascular imaging

    Werner, R., Weller, D., Salamon, J. M., Möddel, M. & Knopp, T., 15.03.2019, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. 1 ed. SPIE , Vol. 10953. p. 109531V 6 p.

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  53. Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction

    Sentker, T., Madesta, F. & Werner, R., 08.03.2019, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Linte, C. A. (eds.). 1 ed. SPIE , Vol. 10951. p. 1095109 7 p.

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  54. Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten

    Nielsen, M., Waldmann, M., Frölich, A., Fiehler, J. & Werner, R., 07.02.2019, Bildverarbeitung für die Medizin 2019: Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck. 1 ed. Springer Vieweg, p. 200-205 6 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  55. Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type

    Kniep, H. C., Madesta, F., Schneider, T., Hanning, U., Schönfeld, M. H., Schön, G., Fiehler, J., Gauer, T., Werner, R. & Gellissen, S., 02.2019, In: RADIOLOGY. 290, 2, p. 479-487 9 p.

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  56. Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation

    Böhme, L., Madesta, F., Sentker, T. & Werner, R., 26.01.2019, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 1 ed. Springer, p. 335-342 8 p. (Lecture Notes in Computer Science; vol. 11383).

    Research output: SCORING: Contribution to book/anthology › Conference contribution - Article for conference › Research › peer-review

Previous 1 2 3 Next