1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technische Universität DresdenDE34 papers
- University of WürzburgDE32 papers
- Argonne National LaboratoryUS29 papers
- Centre National de la Recherche ScientifiqueFR29 papers
- Charles UniversityCZ29 papers
- European Organization for Nuclear ResearchCH29 papers
- Heidelberg UniversityDE29 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR29 papers
- Ludwig-Maximilians-Universität MünchenDE29 papers
- Max Planck Institute for PhysicsDE29 papers
- Michigan State UniversityUS29 papers
- Nagoya UniversityJP29 papers
45 papers
Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
Emely Rosbach, Jonas Ammeling, Jonathan Ganz +4
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts…
Benchmarking Foundation Models for Mitotic Figure Classification
Jonas Ammeling, Jonathan Ganz, Emely Rosbach +4
The performance of deep learning models is known to scale with data quantity and diversity. In pathology, as in many other medical imaging domains, the availability of labeled imag…
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation
Sweta Banerjee, Viktoria Weiss, Taryn A. Donovan +9
Atypical mitosis marks a deviation in the cell division process that has been shown be an independent prognostic marker for tumor malignancy. However, atypical mitosis classificati…
Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)
Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan +6
Assessment of the density of mitotic figures (MFs) in histologic tumor sections is an important prognostic marker for many tumor types, including breast cancer. Recently, it has be…
Beyond accuracy: quantifying the reliability of Multiple Instance Learning for Whole Slide Image classification
Hassan Keshvarikhojasteh, Marc Aubreville, Christof A. Bertram +2
Machine learning models have become integral to many fields, but their reliability, defined as producing dependable, trustworthy, and domain-consistent predictions, remains a criti…
On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images
Jonathan Ganz, Christian Marzahl, Jonas Ammeling +20
The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker as it is a measure for tumor cell proliferation. However…
Re-identification from histopathology images
Jonathan Ganz, Jonas Ammeling, Samir Jabari +2
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primar…
Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors: Comparison of Reproducibility and Prognostic Relevance between Estimates, Manual Morphometry and Algorithmic Morphometry
Andreas Haghofer, Eda Parlak, Alexander Bartel +18
Variation in nuclear size and shape is an important criterion of malignancy for many tumor types; however, categorical estimates by pathologists have poor reproducibility. Measurem…
Addendum: Improved MSSM Higgs mass calculation using the 3-loop FlexibleEFTHiggs approach including -resummation
Thomas Kwasnitza, Dominik Stöckinger, Alexander Voigt
In this addendum we present the stand-alone C++ program MSSMEFTHiggs3L, which implements the 3-loop FlexibleEFTHiggs approach to calculate the lightest CP-even Higgs boson pole mas…
GM2Calc-2 for the 2HDM
Peter Athron, Csaba Balazs, Adriano Cherchiglia +4
GM2Calc is a leading tool for calculating precise contributions to in the Minimal Supersymmetric Standard Model. In this proceeding we detail GM2Calc version 2 where it is ex…
Precise calculation of the W boson pole mass beyond the Standard Model with FlexibleSUSY
Peter Athron, Markus Bach, Douglas H. J. Jacob +3
We present an updated calculation of the W boson pole mass in models beyond the Standard Model with FlexibleSUSY. The calculation has a decoupling behaviour and allows for a precis…
Two-loop Prediction of the Anomalous Magnetic Moment of the Muon in the Two-Higgs Doublet Model with GM2Calc 2
Peter Athron, Csaba Balazs, Adriano Cherchiglia +4
We present an extension of the GM2Calc software to calculate the muon anomalous magnetic moment () in the Two-Higgs Doublet Model. The Two-Higgs Doublet Model is…
FlexibleDecay: An automated calculator of scalar decay widths
Peter Athron, Adam Büchner, Dylan Harries +3
We present FlexibleDecay, a tool to calculate decays of scalars in a broad class of BSM models. The tool aims for high precision particularly in the case of Higgs boson decays. In…
Higgs-mass predictions in the MSSM and beyond
P. Slavich, S. Heinemeyer, E. Bagnaschi +36
Predictions for the Higgs masses are a distinctive feature of supersymmetric extensions of the Standard Model, where they play a crucial role in constraining the parameter space. T…
On the asymptotic structure of steady Stokes and Navier-Stokes flows around a rotating two-dimensional body
Toshiaki Hishida, Mads Kyed
We establish pointwise decay estimates for the velocity field of a steady two-dimensional Stokes flow around a rotating body via a new approach rather than analysis adopted in the…
The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling
Simon Hilpert, Cord Kaldemeyer, Uwe Krien +3
Energy system models have become indispensable tools for planning future energy systems by providing insights into different development trajectories. However, sustainable systems…
One Monad to Prove Them All
Sandra Dylus, Jan Christiansen, Finn Teegen
One Monad to Prove Them All is a modern fairy tale about curiosity and perseverance, two important properties of a successful PhD student. We follow the PhD student Mona on her adv…
Probing the vertex structure in -channel single-top-quark production and decay in collisions at TeV with the ATLAS detector
ATLAS Collaboration
To probe the vertex structure, top-quark and -boson polarisation observables are measured from -channel single-top-quark events produced in proton--proton collisions at…
Top-quark mass measurement in the all-hadronic decay channel at = 8 TeV with the ATLAS detector
ATLAS Collaboration
The top-quark mass is measured in the all-hadronic top-antitop quark decay channel using proton-proton collisions at a centre-of-mass energy of = 8 TeV with the ATLAS de…
Measurement of the cross-section for producing a boson in association with a single top quark in collisions at TeV with ATLAS
ATLAS Collaboration
The inclusive cross-section for the associated production of a boson and top quark is measured using data from proton-proton collisions at TeV. The dataset corr…
Measurements of top quark spin observables in events using dilepton final states in TeV collisions with the ATLAS detector
ATLAS Collaboration
Measurements of top quark spin observables in events are presented based on 20.2 fb of TeV proton-proton collisions recorded with the ATLAS detecto…
Measurements of and production in collisions at TeV with the ATLAS detector
ATLAS Collaboration
Differential cross sections are presented for the prompt and non-prompt production of the hidden-charm states and , in the decay mode , measured using 1…
Measurements of charge and CP asymmetries in -hadron decays using top-quark events collected by the ATLAS detector in collisions at TeV
ATLAS Collaboration
Same- and opposite-sign charge asymmetries are measured in lepton+jets events in which a -hadron decays semileptonically to a soft muon, using data corresponding to a…
Measurement of the production cross section in collisions at = 8 TeV using the and channels with the ATLAS detector
ATLAS Collaboration
A measurement of the production in the and channels in proton--proton collisions at $…