Suivre
Moritz Fuchs
Moritz Fuchs
Phd Student, TU Darmstadt
Adresse e-mail validée de gris.informatik.tu-darmstadt.de - Page d'accueil
Titre
Citée par
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Année
Distance-based detection of out-of-distribution silent failures for covid-19 lung lesion segmentation
C González, K Gotkowski, M Fuchs, A Bucher, A Dadras, R Fischbach, ...
Medical image analysis 82, 102596, 2022
232022
Practical uncertainty quantification for brain tumor segmentation
M Fuchs, C Gonzalez, A Mukhopadhyay
Medical Imaging with Deep Learning, 2021
132021
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study
Y Tolkach, LM Wolgast, A Damanakis, A Pryalukhin, S Schallenberg, ...
The Lancet Digital Health 5 (5), e265-e275, 2023
122023
Federated stain normalization for computational pathology
N Wagner, M Fuchs, Y Tolkach, A Mukhopadhyay
International Conference on Medical Image Computing and Computer-Assisted …, 2022
92022
Artificial intelligence-based tool for tumor detection and quantitative tissue analysis in colorectal specimens
J Griem, ML Eich, S Schallenberg, A Pryalukhin, A Bychkov, J Fukuoka, ...
Modern Pathology 36 (12), 100327, 2023
52023
Exploring sam ablations for enhancing medical segmentation in radiology and pathology
A Ranem, N Babendererde, M Fuchs, A Mukhopadhyay
arXiv preprint arXiv:2310.00504, 2023
52023
Closing the loop for AI-ready radiology
M Fuchs, C Gonzalez, Y Frisch, P Hahn, P Matthies, M Gruening, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2023
32023
FrOoDo: Framework for Out-of-Distribution Detection
J Stieber, M Fuchs, A Mukhopadhyay
arXiv e-prints, 2022
32022
Jointly exploring client drift and catastrophic forgetting in dynamic learning
N Babendererde, M Fuchs, C Gonzalez, Y Tolkach, A Mukhopadhyay
arXiv preprint arXiv:2309.00688, 2023
22023
Preoperative planning for guidewires employing shape-regularized segmentation and optimized trajectories
J Fauser, M Fuchs, A Ghazy, B Dorweiler, A Mukhopadhyay
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019
22019
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Y Frisch, M Fuchs, A Sanner, FA Ucar, M Frenzel, J Wasielica-Poslednik, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
12023
Temporally consistent sequence-to-sequence translation of cataract surgeries
Y Frisch, M Fuchs, A Mukhopadhyay
International Journal of Computer Assisted Radiology and Surgery 18 (7 …, 2023
12023
Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology
M Fuchs, M Konstantin, N Schrade, L Schweizer, Y Tolkach, ...
IEEE Journal of Biomedical and Health Informatics, 2024
2024
ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning
M Konstantin, M Fuchs, A Mukhopadhyay
Medical Imaging with Deep Learning, 2024
2024
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
C Harder, M Fuchs, Y Tolkach, A Mukhopadhyay
arXiv preprint arXiv:2310.16695, 2023
2023
HARP: Unsupervised Histopathology Artifact Restoration
M Fuchs, SKR Sivakumar, M Schöber, N Woltering, ML Eich, L Schweizer, ...
Medical Imaging with Deep Learning, 0
UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation
A Ranem, MAM Aflal, M Fuchs, A Mukhopadhyay
Medical Imaging with Deep Learning, 0
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