m1balcerak / TumorGrowthToolkitLinks
Tumor growth modeling toolkit. Tumor growth numerical solvers.
☆15Updated 2 months ago
Alternatives and similar repositories for TumorGrowthToolkit
Users that are interested in TumorGrowthToolkit are comparing it to the libraries listed below
Sorting:
- [Nature Communications 2025] Official repository for "Glioma Radiotherapy Design by Optimization of a Data and Physics Informed Discrete …☆31Updated 2 months ago
- ☆27Updated 2 years ago
- Statistical shape model of the heart☆51Updated 9 years ago
- ☆25Updated 10 months ago
- Physics-informed neural networks for myocardial perfusion MRI quantification.☆14Updated 5 years ago
- Deep learning framework for strain estimation on CMR Tagging images☆19Updated 11 months ago
- https://openreview.net/pdf?id=V5XDYSRcQP☆13Updated 7 months ago
- ☆20Updated last year
- Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions wit…☆37Updated 9 months ago
- MICCAI Ischemic Stroke LEsion Segmentation 2022 Top 3 Major Voting Ensemble☆26Updated last year
- Readable Conditional Denoising Diffusion☆44Updated last month
- Code for CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy☆18Updated 2 years ago
- A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics☆45Updated last year
- Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]☆69Updated 2 years ago
- A library for performing image registration using deep learning, regularized by inverse consistency☆57Updated last month
- Training code for the MICCAI 2023 paper "DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration"☆36Updated 2 years ago
- Dataset of CT image pairs with landmarks for deformable image registration (DIR) quality assurance.☆14Updated last year
- ☆26Updated 3 years ago
- This is a segmentation pipeline to automatically, and robustly, segment the whole spine in T2w sagittal images.☆53Updated 3 weeks ago
- A software to edit, model and mesh vascular networks from centerlines.☆28Updated last year
- Supporting data for the study "Reconstruction and structured meshing of coronary arteries from X-ray angiography"☆26Updated 4 years ago
- Patient-specific reconstruction of volumetric computed tomography images from few-view projections via deep learning☆116Updated 5 years ago
- A deep-learning approach for direct whole-heart mesh reconstruction☆95Updated 3 years ago
- Auto-differentiable digitally reconstructed radiographs in PyTorch☆243Updated last month
- DL-CTA coronary Agatston calcium scoring☆23Updated 4 years ago
- Baseline methods, training scripts, and pretrained models for LUMIR challenge at Learn2Reg 2024☆31Updated 6 months ago
- ☆182Updated 3 years ago
- NeurIPS 2023 - Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration☆40Updated last year
- [MIDL 2021] Learning Diffeomorphic and Modality-invariant Registration using B-splines☆45Updated last year
- Robust multimodal image registration via keypoints☆91Updated last year