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M

Mathis Hoffmann

pattern recognition lab

H指数:6

被引数:481

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工作经历

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Addressing data scarcity in nanomaterial segmentation networks with differentiable rendering and generative modeling

通过可区分的渲染和生成建模解决纳米材料分割网络中的数据稀缺问题

npj Computational Materials

IF11.9

2025-07-010

OAAI

Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography

基于深度学习的冠状动脉和左心室的多模态数据分类，用于血管造影中的自主协议选择或调整

SCIENTIFIC REPORTS

IF3.9

2025-04-300

OA

PV module power prediction by deep learning on electroluminescence images- Assessing the physics learned by a convolutional neural network

SOLAR ENERGY MATERIALS AND SOLAR CELLS

IF6.3

2024-01-012

PRE

Anomaly detection in IR images of PV modules using supervised contrastive learning

基于监督对比学习的光伏组件红外图像异常检测

PROGRESS IN PHOTOVOLTAICS

IF7.6

2022-03-2822

OAAI

Deep-learning-based pipeline for module power prediction from electroluminescense measurements

PROGRESS IN PHOTOVOLTAICS

IF7.6

2021-05-2014

OAAI

Calibration-free beam hardening reduction in x-ray CBCT using the epipolar consistency condition and physical constraints

MEDICAL PHYSICS

IF3.2

2019-12-078

OAAI

Learning with known operators reduces maximum error bounds

NATURE MACHINE INTELLIGENCE

IF23.9

2019-08-09123

OAAI

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems

IEEE TRANSACTIONS ON MEDICAL IMAGING

IF9.8

2018-06-01186

PREAI