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02.01.2026

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Teaser image to MCML Researchers in Highly-Ranked Journals

Four Papers in 2026 Highlight Scientific Impact

We are happy to announce that MCML researchers are represented in 2026 with four papers in highly-ranked journals. Congrats to our researchers!

Y. Ni • R. Liang • X. Hao • J. Cheng • Q. Wang • C. Huang • C. Zou • W. Zhou • W. Ding • B. W. Schuller
Affine Modulation-based Audiogram Fusion Network for Joint Noise Reduction and Hearing Loss Compensation.
Information Fusion 127. Part A.103726. Mar. 2026. DOI GitHub
M. Fischer • A. Muckenhuber • R. Peretzke • L. Farah • C. Ulrich • S. Ziegler • P. Schader • L. Feineis • H. Gao • S. Xiao • M. Götz • M. Nolden • K. Steiger • J. T. Sieveke • L. Endrös • R. Braren • J. Kleesiek • P. J. Schüffler • P. Neher • K. Maier-Hein
Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores.
Journal of Pathology 268.1. Jan. 2026. DOI
A. Varma • D. Scholz • A. C. Erdur • J. C. Peeken • D. RückertB. Wiestler
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions.
Pattern Recognition Letters 199. Jan. 2026. DOI
X. Zhu • Y. Zeng • J. Guo
Enhancing the Understanding of Urban Green Space Cooling Effects in China's Major Cities with a Sub-Meter Dataset.
Sustainable Cities and Society 136.107051. Jan. 2026. DOI
#research #top-tier-work #rueckert #schueffler #schuller #wiestler #zhu
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