Prof. Dr. Bjoern Menze and his team join the DQBM
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- Photo Prof. Dr. Bjoern Menze
- © Andreas Heddergott / TU Muenchen
The DQBM is delighted to announce that Prof. Dr. Bjoern Menze will join the DQBM Faculty as Full Professor for Biomedical Image Analysis and Machine Learning, funded by the Helmut Horten Foundation.
Prof. Menze studied physics in Heidelberg and Uppsala and received his PhD in Heidelberg in 2007. As postdoctoral researcher, he worked at renowned research institutions, including Harvard Medical School in Boston, MIT in Cambridge and ETH Zurich. In 2013, Prof. Menze was appointed a W2 professorship at the Technical University of Munich (TUM), where he has been researching and teaching since. In 2019, Prof. Menze was appointed W3 Professor for Image-Based Biomedical Modelling at the Munich School of BioEngineering and the Zentralinstitut fuer translationale Krebsforschung (TranslaTUM).
The Menze group will be moving to the UZH from the Technical University of Munich (TUM). Please find the UZH's official announcement here.
We look forward to welcoming the Menze Group to our Department later this year!
More news
- The Bodenmiller group identifies prognostic single-cell populations in breast cancer lymph node metastases
- The Menze group publishes a deep learning approach to predict collateral flow in stroke patients
- The Menze group publishes Focused Decoder: a novel Detection Transformer for 3D anatomical structure detection
- Michael Krauthammer co-manages the establishment of the LOOP Zurich's new BioMedical Informatics Platform
- The Krauthammer lab and collaborators publish PRIDICT: An attention-based bidirectional recurrent neural network to predict prime editing efficiency and product purity
- The Bodenmiller group publishes a single-cell map of T cell exhaustion-associated immune environments in breast cancer
- The Menze group and collaborators publish the liver tumor segmentation benchmark
- The Bodenmiller group develops a strategy that estimates tissue spatial segregation to optimise multiplexed imaging experimental design
- DQBM's roundup of 2022
- The Polymenidou group's research is featured in EU GrantsAccess' Science Stories
- The Polymenidou group and collaborators systematically evaluate human-derived anti-poly-GA antibodies in C9orf72 disease models
- The Kümmerli group shows that collective decision-making in P. aeruginosa involves transient segregation of quorum-sensing activities across cells
- Michael Krauthammer and collaborators publish a perspective paper on the use and ethics of Digital Twins in medicine
- The Menze group publishes a new way of solving the inverse problem for brain tumor modeling
- The Kümmerli group shows that loss-of-function and regulon modulation drives diversification in quorum sensing activity patterns in P. aeruginosa
- The Menze group improves deep learning based super-resolution of 4D-flow MRI data
- Magdalini Polymenidou granted a Target ALS and Alzheimer’s Drug Discovery Foundation Award for Biomarker Research
- The Krauthammer lab is part of the newly funded DIZH innovation structure "Zurich Applied Digital Health Center"
- The Kümmerli group shows coordination of siderophore gene expression in clonal P. aeruginosa cells
- The Bodenmiller group's research is featured in EU GrantsAccess' Science Stories
- The Joller group publishes a review on the interplay between regulatory T cells and peripheral tissues
- The Menze group develops a convolutional neural network for residual motion correction in fast whole-brain MRI
- The Kümmerli group shows that enforced specialization fosters mutual cheating, but not division of labour, in P. aeruginosa
- The Bodenmiller group characterises chemokine expression and function in melanoma
- Magdalini Polymenidou receives an ERC Consolidator Grant
- The Menze group develops a deep neural network to reconstruct the 3D standing spine posture from 2D Radiographs
- The Polymenidou group publishes a protocol for the identification of RNA–RBP interactions in subcellular compartments by CLIP-Seq
- Zsolt Balázs (Krauthammer group) wins the Pfizer Research Prize 2022
- Watch Bernd Bodenmiller's video on innovative research at the Comprehensive Cancer Center Zurich (german only)
- The Kümmerli group and collaborators publish a high-throughput method to elucidate siderophores from natural Pseudomonas
- The Bodenmiller group develops a 3D IMC approach for multiplexed 3D tissue analysis at single-cell resolution
- The Menze group publishes a geometry-aware neural solver for fast Bayesian calibration of brain tumor models
- DQBM's roundup of 2021
- Michael Krauthammer's team is part of the new Innosuisse Flagship Project 'Smart Hospital'
- Prof. Dr. Nicole Joller and her team join the DQBM
- Rolf Kümmerli appointed Associate Professor for Evolution of Human Microbiomes and Pathogens
- The Krauthammer group and collaborators publish a perspective paper on analyzing patient trajectories with AI
- The Polymenidou group is awarded an SNSF Sinergia Grant together with collaborators at UZH and ETHZ
- "Bridging the Gap to Patients"
- The Polymenidou group shows that patient-derived pathological TDP-43 triggers de novo aggregation of physiological TDP-43 in host cells
- Johanna Wagner (Alumnus Bodenmiller group) wins the 2021 Ida de Pottère-Leupold and Dr. iur. Erik de Pottère Cancer Research Award
- The Kümmerli group identifies a dual role for siderophores in driving invasion dynamics in bacterial communities
- Johanna Furrer (Polymenidou group) wins the Faculty of Science's Semester Prize
- The Polymenidou group publishes a 'Spotlight' on benefits of distributing protein aggregates among microglial networks
- The Menze group publishes a deep learning-based approach to segment the claustrum in human brain MRI scans
- DQBM's wet lab groups are moving into UZI5
- The Kümmerli group uses single-cell imaging to show that S. aureus is highly competitive against P. aeruginosa on surfaces
- The Krauthammer group publishes BE-DICT: An attention-based deep learning algorithm to predict base editing outcomes
- The Krauthammer group publishes AttentionDDI: Siamese attention-based deep learning method for drug-drug interaction predictions
- The Kümmerli group shows that ecology drives evolution of social strategies in P. aeruginosa
- The Polymenidou group and collaborators show that LAG3 does not modulate α-synucleinopathies
- The Menze group and collaborators publish VerSe: A vertebrae labelling and segmentation benchmark for multi-detector CT images
- Bjoern Menze and Ender Konukoglu (ETHZ) organise 'MIDL 2022 - Medical Imaging with Deep Learning' in Zurich
- Watch the #NCCRWomen feature on Magdalini Polymenidou
- The Kümmerli group publishes their work on drivers of siderophore-mediated social interactions in natural bacterial communities
- The Polymenidou group shows that synaptic FUS accumulation triggers early misregulation of synaptic RNAs in an ALS mouse model
- Watch Michael Krauthammer's Inaugural Lecture 'Wie Daten und künstliche Intelligenz die Medizin von morgen prägen'
- The Bodenmiller group shows that mapping the breast cancer signaling network improves drug sensitivity prediction
- Watch Michael Krauthammer's 'Clinics meets Bioinformatics' Keynote on AI Support in the Clinic
- The Bodenmiller group publishes their collaborative work on dysregulation of T cell homeostasis and function in severe COVID-19
- The Krauthammer group publishes their collaborative work on AI support for ethical decision-making around resuscitation
- Watch Michael Krauthammer's NGW talk on AI in Medicine
- The Menze group publishes their review on deep learning for medical image analysis
- The Krauthammer group publishes their collaborative work on oncolytic virotherapy-mediated anti-tumor response
- The Tumor Profiler Consortium publishes their study on integrated, multi-omic, functional tumor profiling for clinical decision support
- The Bodenmiller group publishes the cytomapper package, a tool to visualise highly multiplexed imaging data in R
- The Bodenmiller group publishes their collaborative work on innate immune responses in COVID-19
- The Polymenidou group publishes their collaborative work on direct binding of importins to arginine-rich dipeptide repeat proteins
- DQBM's roundup of 2020
- The Bodenmiller group publishes their work on spatial phenotypic variability in 3D spheroids
- The Kümmerli group publishes their collaborative work on population invasion through exploitation of Pseudomonas aeruginosa public goods
- The Menze group publishes DeepVesselNet, a deep learning approach to perform vessel segmentation, centerline prediction, and bifurcation detection tasks
- The Menze group publishes a Deep Learning-enabled tool for segmentation of organs in whole-body mouse scans
- The Polymenidou group publishes their review on liquid-liquid phase separation in neurodegeneration
- The Polymenidou group receives competitive EU Consortium Grant
- Bernd Bodenmiller appointed as Dual Professor for Quantitative Biomedicine at UZH and ETH Zurich
- The Kümmerli group shows the potential of combining antivirulence drugs with antibiotics against an opportunistic human pathogen
- The Bodenmiller group receives SNF support to study primary immune response & memory in COVID-19 patients
- The Bodenmiller group publishes their collaborative work on CD4+ T Helper Cell response heterogeneity
- The Kümmerli group shows how biotic and abiotic factors affect competitive dynamics between co-infecting human pathogens
- The Kümmerli group shows that competition overrides inter-species cooperation in bacteria
- The Krauthammer group publishes their work on deep learning-based multimodal fusion techniques to reduce annotation burden
- The Krauthammer Group publishes their work on machine learning models for assessing the quality of online health information.
- The Kümmerli group publishes their collaborative work on iron-driven phytopathogen control by natural rhizosphere microbiomes
- Magdalini Polymenidou awarded Franco Regli Prize 2018/2019
- The Krauthammer group publishes a data anonymization reference classification merging legal and technical considerations
- Johanna Wagner-Albrecht (Bodenmiller group) wins the 2020 Faculty of Science's Annual Thesis Award
- Michael Krauthammer shares his vision on using AI to generate medical evidence from real world health data in UZH magazine
- The Bodenmiller group publishes their review on profiling cell signaling networks at single-cell resolution
- The Bodenmiller group publishes their work linking imaging mass cytometry to breast cancer genomics
- The Kümmerli group publishes their review on harnessing bacterial interactions to manage infections
- The Bodenmiller group publishes their work on the single-cell pathology landscape of breast cancer
- The Bodenmiller group, in collaboration with the Krishnaswamy group, publishes a method to uncover axes of variation among single-cell cancer specimens
- DQBM's roundup of 2019
- Bernd Bodenmiller awarded ERC Consolidator Grant
- Julien Weber (Polymenidou group) wins Best Lab Manager Award 2019
- The Kümmerli group shows that homogeneous rather than specialised bacterial behavioral repertoires prevail in natural Pseudomonas communities
- The Kümmerli group publishes their review on bacterial siderophores in community and host interactions
- Bernd Bodenmiller selected for the Analytical Scientist's 2019 Power List Top 100
- The Kümmerli group publishes their work on genetic constraints of siderophore cooperation exploitation in Burkholderia cenocepacia
- Magdalini Polymenidou appointed Associate Professor for Biomedicine, in particular Molecular Pathogenesis of Neurodegeneration
- The Krauthammer group publishes their work on neural network-based models versus logistic regression for predicting readmission
- The Bodenmiller group publishes a human kinome- and phosphatome-wide screen revealing overexpression-induced effects on cancer-related signaling
- The Kümmerli group publishes their work on the impact of Pseudomonas aeruginosa social interactions on host colonization
- The Bodenmiller group finds that breast cancer ecosystems are linked to poor prognosis and immunosuppression.
- The Polymenidou group publishes their work on RNA binding of FUS
- The Polymenidou group publishes their work on TDP-43 strains
- Bernd Bodenmiller receives Friedrich Miescher Award
- The Department of Quantitative Biomedicine has been founded!