Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
☆40Feb 9, 2023Updated 3 years ago
Alternatives and similar repositories for CIR
Users that are interested in CIR are comparing it to the libraries listed below
Sorting:
- Lung cancer screening radiomics☆12Apr 11, 2023Updated 2 years ago
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆33Sep 22, 2024Updated last year
- This repository provides a 3D implementation of DINOv2 for self-supervised pretraining on volumetric (3D) medical images using Lightly, M…☆50Feb 18, 2026Updated last week
- Repository for IPMI2020 TopoTxR: A Topological Biomarker forPredicting Treatment Response in Breast Cancer☆13Mar 17, 2022Updated 3 years ago
- [Official Repo: MICCAI 2022] LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection☆13Nov 14, 2022Updated 3 years ago
- Predicting ICU admission based on initial CT images and non-imaging data.☆15Nov 11, 2020Updated 5 years ago
- ☆17Nov 3, 2023Updated 2 years ago
- [Official Repo: TCBB 2023] SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention☆18Aug 26, 2023Updated 2 years ago
- CLIP-Lung (MICCAI 2023)☆19Jan 23, 2024Updated 2 years ago
- Deep-learning Radiomics for Classification Modelling☆85Jun 22, 2022Updated 3 years ago
- Supporting code for the paper "Highly accurate model for prediction of lung nodule malignancy with CT scans".☆36Oct 29, 2018Updated 7 years ago
- Factor Modeling for radiomics☆12Aug 29, 2025Updated 6 months ago
- Habitat Analysis is a MATLAB code for identifying intratumoral habitats with distinct heterogeneity using radiographics scans.☆14Feb 2, 2024Updated 2 years ago
- personal toolbox for lidc-idri dataset / lung cancer / nodule☆26Nov 23, 2023Updated 2 years ago
- Code for reducing annotation need in self-explanatory models☆10Apr 20, 2023Updated 2 years ago
- ☆10Jun 14, 2022Updated 3 years ago
- Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism☆29May 6, 2023Updated 2 years ago
- Visualization for radiomics feature generated by pyradiomics☆53Jan 2, 2025Updated last year
- Medical Image Radiomics Processor☆77Feb 9, 2026Updated 3 weeks ago
- Code base for BMVC paper: Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions☆11Mar 31, 2025Updated 11 months ago
- Convert numpy mask to dicom rtstruct☆13Feb 28, 2023Updated 3 years ago
- ☆21Aug 3, 2023Updated 2 years ago
- [MICCAIW 2025] ShapeKit☆20Jan 6, 2026Updated last month
- Official implementation of Dense Prediction with Attentive Feature Aggregation, WACV 2023☆12Jan 31, 2023Updated 3 years ago
- Implementation of Image encoding in FRQI image model and reconstructing the image from the Quantum states,☆14Sep 10, 2020Updated 5 years ago
- Codebase for Lung PET/CT Survival Analysis☆13Mar 16, 2022Updated 3 years ago
- ☆11Feb 15, 2023Updated 3 years ago
- 3D NAS for Pulmonary Nodules Classification, PR 2021☆54Feb 19, 2021Updated 5 years ago
- MICCAI 2023: Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes☆14Jul 23, 2023Updated 2 years ago
- ☆15Feb 12, 2025Updated last year
- ☆14May 29, 2021Updated 4 years ago
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆220Jun 24, 2020Updated 5 years ago
- Methods for training and interpreting deep radiogenomic neural networks☆14May 4, 2020Updated 5 years ago
- ☆29Jan 7, 2026Updated last month
- examples of using PyMIC for medical image computing with deep learning☆34Feb 23, 2026Updated last week
- Lung cancer risk prediction from CT using fine-tuned I3D neural network☆36Mar 24, 2023Updated 2 years ago
- Implementation of "Multi-scale Gradual Itegration Convolutional Neural Network for False Positive Reduction in Pulmonary Nodule Detection…☆35Dec 19, 2019Updated 6 years ago
- Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)☆34May 30, 2025Updated 9 months ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆18Jan 24, 2022Updated 4 years ago