Ramon Luis Correa Medero 's repositories
breast_density_classifier
Breast density classification with deep convolutional neural networks
Niffler
Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.
VIMA
Official Algorithm Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"
BSSLecture
Simplified illustration of blind-source separation algorithms
kits21_spatial_channel_attention
Code for spatial and channel attetion enhanced U-Net for Kits21 dataset
MICCAI23-ProtoContra-SFDA
This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning"
Mirai
This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
OncoNet_Public
Developing Deep Learning Models for Mammography
redcap-em-aimi
The study team would like to present Stanford ML-models as downloadable, plug-and-play modules for all REDCap users, which also precludes the need to deal with integrating external models/code. The customer aims to write a paper encapsulating the ‘how to’ for RedCAP and ML models.
VIMABench
Official Task Suite Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/