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Ivan Shih's Projects

mctc4bmi icon mctc4bmi

Matrix and Tensor Completion for Background Model Initialization

mepp icon mepp

Mepp - 3D MEsh Processing Platform

midas-journal-111 icon midas-journal-111

Implementing the Automatic Generation of 3D Statistical Shape Models with ITK

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlr-ssc icon mlr-ssc

C++ source code for the Pattern Recognition paper: A Hierarchical Local Region-based Sparse Shape Composition for Liver Segmentation in CT Scans.

niftynet icon niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

pdf2htmlex icon pdf2htmlex

Convert PDF to HTML without losing text or format.

phd-thesis icon phd-thesis

Repository of my thesis "Understanding Random Forests"

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

resources icon resources

A curated list of geometric algebra resources

simpleflow icon simpleflow

A simple TensorFlow-like graph computation framework in Python for learning purpose

spharm-pdm icon spharm-pdm

Shape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures. SPHARM-PDM is a tool that computes point-based models using a parametric boundary description for the computing of Shape analysis.

spoon-knife icon spoon-knife

This repo is for demonstration purposes only. Comments and issues may or may not be responded to.

srdm icon srdm

C++ source code for the ICIG 2015 paper: Sparse Representation-Based Deformation Model for Atlas-Based Segmentation of Liver CT Images.

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

statismo icon statismo

Framework for building Statistical Image And Shape Models

surface-distance icon surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

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