Knowledge Graph
How everything in this directory connects, split into small graphs that each load on their own: the backbone of teams, topics and toolkits, the datasets and the papers that use them, the curated lineage trees, and one graph per topic. Pick a category to explore it.
Overview
Team backbone
The knowledge graph's backbone: research teams, topics, toolkits and guides in this CT reconstruction directory, and how they connect.
76 nodes · 181 relationsDatasets & the papers that use them
Dataset relations in this CT reconstruction directory: the datasets and benchmarks with a recorded link to a paper, and the papers that use them.
58 nodes · 212 relationsThe CT Reconstruction Family Tree: From FBP to Foundation Models
A hand-curated family tree of CT reconstruction — 30 papers on one zoomable canvas, branching from the analytic root through dual-domain networks, implicit and explicit representations, and generative priors, into foundation models.
30 milestones · 1984–2026By topic
Surveys & Reviews
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
31 nodes · 47 relationsClassical & Iterative Reconstruction
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
168 nodes · 605 relationsSparse-View CT
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
250 nodes · 1150 relationsLimited-Angle Tomography
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
106 nodes · 467 relationsLow-Dose CT Denoising
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
239 nodes · 1369 relationsMetal Artifact Reduction
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
103 nodes · 577 relationsSpectral & Dual-Energy CT
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
85 nodes · 369 relationsCone-Beam CT
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
166 nodes · 535 relationsDynamic & 4D CT
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
61 nodes · 168 relationsScatter Correction
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
17 nodes · 39 relationsGeometry Calibration & Motion Compensation
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
54 nodes · 99 relationsDeep Unrolling & Model-Based Learning
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
146 nodes · 691 relationsSelf-Supervised & Untrained Methods
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
86 nodes · 215 relationsDiffusion & Generative Priors
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
105 nodes · 264 relationsImplicit Neural Representations
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
46 nodes · 85 relationsGaussian Splatting
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
41 nodes · 64 relationsOther Topics
Knowledge graph for one topic of this CT reconstruction directory: its papers, the datasets they use, the teams that focus on it and its most prolific authors.
109 nodes · 169 relationsTeams and their works in the library
WANG-AXIS Lab / Biomedical Imaging Center (BIC) · Rensselaer Polytechnic Institute — Tomographic Foundation Model—FORCE: Flow-Oriented Reconstruction Conditioning Engine
X-ray Tomographic Imaging Group · University of Chicago — Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization · leehoy/CTReconstruction
I-STAR Lab (Imaging for Surgery, Therapy, and Radiology) · Johns Hopkins University — Cone-Beam Computed Tomography with a Flat-Panel Imager: Magnitude and Effects of X-Ray Scatter · Efficient Monte Carlo Based Scatter Artifact Reduction in Cone-Beam Micro-CT
Fessler Group · University of Michigan — Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs · MIRT · MIRTorch
CT Clinical Innovation Center · Mayo Clinic — Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications · LDCT-and-Projection-data · AAPM Low-Dose CT Grand Challenge
CT Research Group (UW CT Lab) · University of Wisconsin–Madison — Prior Image Constrained Compressed Sensing (PICCS): A Method to Accurately Reconstruct Dynamic CT Images from Highly Undersampled Projection Data Sets · Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS)
Bouman Group · Purdue University — A generalized Gaussian image model for edge-preserving MAP estimation · A local update strategy for iterative reconstruction from projections · svmbir
LEAP Project, Lawrence Livermore National Laboratory · Lawrence Livermore National Laboratory — LEAP · XrayPhysics
APS Tomography Group · Argonne National Laboratory — TomoPy · TomoBank
Pattern Recognition Lab (LME) · Friedrich-Alexander-Universität Erlangen-Nürnberg — diffct · PYRO-NN
Computational Image Analysis (CIA) Group · University of Cambridge — LION
Computational Imaging Group · Centrum Wiskunde & Informatica (CWI) — ASTRA Toolbox · tomosipo · FleX-ray Walnut CBCT Collection (CWI)
imec-Vision Lab (ASTRA Group) · University of Antwerp — ASTRA Toolbox
Mathematical Imaging Group (Ozan Öktem) · KTH Royal Institute of Technology — ODL · Learned Primal-Dual · Learned Gradient Tomography
CREATIS Tomographic Reconstruction Group · CREATIS (CNRS / Inserm / INSA Lyon) — RTK
Tomographic Imaging / Core Imaging Library (CIL) Group · Science and Technology Facilities Council (STFC) — Core Imaging Library (CIL) · CCPi Regularisation Toolkit · TomoPhantom
BISPL (Bio Imaging & Signal Processing Lab) · Korea Advanced Institute of Science and Technology (KAIST) — Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
CT Imaging Group, Department of Engineering Physics · Tsinghua University
CT Reconstruction Groups (Chen / Luo) · Southeast University — Imaging foundation model for universal enhancement of non-ideal measurement CT
XMed Lab · Hong Kong University of Science and Technology — DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction