Kilian M. Pohl
Radiology, Nuclear Medicine and Imaging · 2006–2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 47 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Cognitive Neuroscience — 24 citations into it
- Artificial Intelligence — 22 citations into it
Whom Kilian M. Pohl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey J. McLachlan
- Bruce Fischl
- Stephen M. Smith
- Geoffrey E. Hinton
- Radford M. Neal
- L. V. D. van der Maaten
- Bashir Sadeghi
Who trusts Kilian M. Pohl overall
- Juan Eugenio Iglesias
- Ivana Despotovic
- Mariano Cabezas
- Brian B. Avants
- Jyrki Lötjönen
- Henri A. Vrooman
- Mark Holden
- Bart Goossens
Papers from Kilian M. Pohl's perspective
Ordered by how strongly the researchers Kilian M. Pohl trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Visualizing Data using t-SNE
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Training confounder-free deep learning models for medical applications (2020) — 154 citations
- Image processing and analysis methods for the Adolescent Brain Cognitive Development Study (2018) — 1,026 citations
- A Bayesian model for joint segmentation and registration (2006) — 312 citations