Junebeomstics

3D-CycleGan-Pytorch-MedImaging

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

3d-pix2pix-CycleGAN

3dbraingen

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

3DStyleGAN

3D StyleGAN2 for Medical Images

ALCFBeginnersGuide

SSL_MRI

yAwareContrastiveLearning

Official Pytorch Implementation for y-Aware Contrastive Learning

SwiFT

Official repo for SwiFT: Swin 4D fMRI Transformer

SwiFUN

Official repo for SwiFUN

Junebeomstics/SSL_MRI

Junebeomstics/ALCFBeginnersGuide

Junebeomstics/yAwareContrastiveLearning

Official Pytorch Implementation for y-Aware Contrastive Learning

Junebeomstics/ai-science-training-series

Junebeomstics/apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Junebeomstics/BEVT

PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

Junebeomstics/BrainLM

Junebeomstics/BrainNetworkTransformer

Reproduction of the NeurIPS 2022 paper Brain Network Transformer.

Junebeomstics/chinchilla

A toolkit for scaling law research ⚖

Junebeomstics/connTask

Junebeomstics/data-seminars

Junebeomstics/DiffuseIT

Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation"

Junebeomstics/DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Junebeomstics/fMRI-foundation-model

Self-supervised fMRI foundation model

Junebeomstics/fMRI-reconstruction-NSD

fMRI-to-image reconstruction on the NSD dataset.

Junebeomstics/fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Junebeomstics/HA-GAN

Official PyTorch implementation for HA-GAN, a memory efficient 3D GAN, accepted to IEEE J-BHI

Junebeomstics/Junebeomstic-beta.github.io

Junebeomstics/Junebeomstics.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

Junebeomstics/Megatron-LM

Ongoing research training transformer models at scale

Junebeomstics/mup

maximal update parametrization (µP)

Junebeomstics/predict-task-individual-variability

An ensemble model to predict individual variability of task-fMRI using resting-state fMRI

Junebeomstics/ResViT

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

Junebeomstics/stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Junebeomstics/SupWMA

[MedIA 2023] "Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions", Medical Image Analysis

Junebeomstics/TFF

an end to end framework for analyzing fMRI time-series data (4D) using transformers

Junebeomstics/TractCloud

[MICCAI 2023] TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation

Junebeomstics/TractSeg

Automatic White Matter Bundle Segmentation

Junebeomstics/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Junebeomstics/UCTransNet

Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.