output
20032024
most citedCriticality for branching processes in random environment

172 citations

17 papers

astro-ph.HE2024★ 34 cited

Broadband Multi-wavelength Properties of M87 during the 2018 EHT Campaign including a Very High Energy Flaring Episode

J. C. Algaba, M. Balokovic, S. Chandra +738

The nearby elliptical galaxy M87 contains one of the only two supermassive black holes whose emission surrounding the event horizon has been imaged by the Event Horizon Telescope (…

eess.IV2023★ 12 cited

Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study

Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau +6

We provide in this paper a comprehensive comparison of various transfer learning strategies and deep learning architectures for computer-aided classification of adult-type diffuse…

cs.CV2022★ 12 cited

Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels

Ahmet Gokberk Gul, Oezdemir Cetin, Christoph Reich +3

Whole Slide Image (WSI) analysis is a powerful method to facilitate the diagnosis of cancer in tissue samples. Automating this diagnosis poses various issues, most notably caused b…

physics.med-ph2022★ 4 cited

Validating a Simulation Model for Laser-Induced Thermotherapy Using MR Thermometry

Frank Hübner, Sebastian Blauth, Christian Leithäuser +3

Laser-induced interstitial thermotherapy (LITT) is applied to ex-vivo porcine livers. An artificial blood vessel is used to study the cooling effect of larger blood vessels in prox…

q-bio.OT2021

Nachhaltige Strategien gegen die COVID-19-Pandemie in Deutschland im Winter 2021/2022

Viola Priesemann, Eberhard Bodenschatz, Sandra Ciesek +18

In this position paper, a large group of interdisciplinary experts outlines response strategies against the spread of SARS-CoV-2 in the winter of 2021/2022 in Germany. We review th…

cs.CV2020★ 5 cited

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation

Diyuan Lu, Nenad Polomac, Iskra Gacheva +2

The application of Deep Learning (DL) for medical diagnosis is often hampered by two problems. First, the amount of training data may be scarce, as it is limited by the number of p…