DeVriesMatt

3D-denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

3DGAN_PyTorch

Implementation of 3D GAN in PyTorch based on http://3dgan.csail.mit.edu/papers/3dgan_nips.pdf

AGNet

The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019

cellshape

3D shape analysis of cancer cells using deep learning

DeepClusterConv

Deep clustering using 3D convolutional autoencoders

cellshape

3D shape analysis using deep learning

cellshape-cloud

cellshape-cluster

Cellshape-cluster is an easy-to-use tool to analyse the cluster cells by their shape using deep learning and, in particular, deep-embedded-clustering

cellshape-helper

Cellshape-helper provides the ability to convert 3D masks to point clouds.

cellshape-voxel

Cellshape-voxel is an easy-to-use tool to analyse the shapes of cells using deep learning and, in particular, 3D convolutional neural networks.

DeVriesMatt/MScProjects

A repository containing the projects from my MSc. in Artificial Intelligence from the University of Southampton

DeVriesMatt/AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

DeVriesMatt/causalbench-starter

Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.

DeVriesMatt/CellCaptcha

DeVriesMatt/CellDiffusion

Denoising Defusion for 3D images of cells, conditioned on ground truth shape features.

DeVriesMatt/CellGeneration

Generative models for 3D single cell data

DeVriesMatt/CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

DeVriesMatt/COMP6203_Coursework

DeVriesMatt/CurveNet

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

DeVriesMatt/DeVriesMatt

DeVriesMatt/DeVriesMatt.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

DeVriesMatt/dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

DeVriesMatt/Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

DeVriesMatt/dsmil-devries

DeVriesMatt/dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

DeVriesMatt/DTFD-MIL

DeVriesMatt/Interpretable3D

This is the official implementation of "Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds" (Accepted at AAAI 2024).

DeVriesMatt/MIDLLatexTemplate

Latex template for the MIDL Conference

DeVriesMatt/MILTimeSeriesClassification

Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

DeVriesMatt/Mitsuba2PointCloudRenderer

rendering (optionally temporal) point clouds using Mitsuba2

DeVriesMatt/Neighbor_constrained_attention_based_MIL

DeVriesMatt/PointCMP

DeVriesMatt/Pointnet2_PyTorch

PyTorch implementation of Pointnet2/Pointnet++ which compilation issues have been resolved

DeVriesMatt/S4EROID

DeVriesMatt/SentiDiff3D

DeVriesMatt/swiple

Swiple enables you to easily observe, understand, validate and improve the quality of your data

DeVriesMatt/tif2blender

Loading and handling microscopy data in blender

DeVriesMatt/TransMIL

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

DeVriesMatt/UnsupervisedPointCloudReconstruction

Experiments on unsupervised point cloud reconstruction.

DeVriesMatt/VFIformer

Video Frame Interpolation with Transformer (CVPR2022)