Datasets & the papers that use them
The datasets and benchmarks that papers in this directory are recorded as using or citing in their experiments — and those papers. Select a dataset to see its papers, or a paper to see what it ran on.
Showing 11 of 79 datasets and 6 of 19 benchmarks: only resources with a recorded link to a paper appear in this graph. The rest are in the datasets and benchmarks directory.
The interactive graph could not be loaded (JavaScript or the graph library is unavailable); the same entries are listed below as links.
Datasets & the papers that use them
Paper
- 3DIP
- ADN
- AMIR
- CasRedSCAN
- CNN-MAR
- CNNRPGD
- CoIL
- Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
- CPCE
- CT-CLIP/CT-CHAT
- CTformer
- Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
- DataDriven
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- DeepCNN
- DIP
- DLCT
- DuDoDR-Net
- DuDoNet
- InDuDoNet
- InDuDoNet+
- IntraTomo
- KSAE
- LEARN
- LoDoPaB-CT
- LPD
- MAGIC
- MAP-NN
- MetaInv-Net
- NAF
- Noise2Match
- Noise2Noise
- RED-CNN
- SACNN
- SPARE
- TFU-Net
- Ultralow-parameter denoising: Trainable bilateral filter layers in computed tomography
- WavResNet
- WGAN-VGG
- X2CT-GAN
Dataset
- AAPM DL-Sparse-View CT data
- CT-RATE
- DeepLesion
- Finnish Inverse Problems Society (FIPS) datasets
- Helsinki Tomography Challenge 2022
- LDCT-and-Projection-data
- LIDC-IDRI
- LoDoPaB-CT
- LoDoPaB-CT (benchmark release paper)
- SPARE 4D-CBCT
- Walnut-CBCT