Dominik Fleischmann
Radiology, Nuclear Medicine and Imaging · 2012–2023
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 39 citations into it; #2,892 of 3,265 by trust here, #1,861 by citations
- Biomedical Engineering — 14 citations into it; #9,606 of 10,734 by trust here, #6,312 by citations
Whom Dominik Fleischmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Dominik Fleischmann overall
Papers from Dominik Fleischmann's perspective
Ordered by how strongly the researchers Dominik Fleischmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Computed Tomography: Principles, Design, Artifacts, and Recent Advances
- Large Scale Distributed Deep Networks
- The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence (European Radiology)
- Semi-supervised Learning with Deep Generative Models
- Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
- Generating Text with Recurrent Neural Networks
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
- CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
- The Unreasonable Effectiveness of Data
Their papers
- Preparing Medical Imaging Data for Machine Learning (2020) — 891 citations
- CT artifacts: Causes and reduction techniques (2012) — 851 citations
- Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects. (2023) — 376 citations
- Photon-counting CT: Technical Principles and Clinical Prospects. (2018) — 1,125 citations