[ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports.
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Dec 31, 2025 - Python
[ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports.
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Liver Lesion Segmentation with 2D Unets
Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
TextSCF: LLM-Enhanced Image Registration Model
[BIBM 2025] The official code for "Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification".
DeepWMH: Annotation-free white matter hyperintensity (WMH) lesion segmentation tool using deep learning.
PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)
Official development code of the Automatic Scoring of Atopic Dermatitis (ASCORAD) by Legit.Health 🩺🤖
DL tool for white matter hyperintensities segmentation
Official PyTorch Implementation of ModDrop++ [MICCAI 2022 (early accept)]. A simple yet effective approach to tackle missing-modality problem for multi-modality medical imaging data.
A comprehensive platform for analyzing pulmonary parenchyma lesions on chest CT.
[BSPC] The official code for "MHorUNet: High-order spatial interaction UNet for skin lesion segmentation".
The official code for "LiteMamba-Bound: A lightweight Mamba-based model with boundary-aware and normalized active contour loss for skin lesion segmentation"
A production-grade deep learning system for automated skin lesion classification using the HAM10000 dataset. This system provides training, evaluation, and real-time inference capabilities for detecting seven types of skin lesions.
Skin lesion segmentation with a U-Net, using the dataset from ISIC challenge 2018.
A 2D and 3D PyTorch implementation of the Tiramisu CNN
The code to visualize colon-bench data and run evaluations of MLLMs on the benchmark.
MedLesSynth-LD : Lesion Synthesis using Physics-Based Noise Models for Robust Lesion Segmentation in Low-Data Medical Imaging Regimes
3D Slicer extension that provides T2-FLAIR MRI manipulation methods in order to increase contrast and segment hyperintense Multiple Sclerosis lesions
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