Pak287

Pak287's Stars

• HHHedo/IBMIL

  CVPR 2023 Highlight

  Language:Python729

• Pak287/HIA

  Histopathology Image Analysis

  1

• Pak287/HIPT

  Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

  1

• Zhengyushan/tcga2tile

  Language:Python92

• binli123/dsmil-wsi

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

  Language:Python35688

• szc19990412/TransMIL

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

  Language:Python34073

• ncoudray/DeepPATH

  Classification of Lung cancer slide images using deep-learning

  Language:Python489211

• huiqu18/GeneMutationFromHE

  Gene mutation and pathway activity prediction from H&E slides

  Language:Python3111

• wkentaro/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.3k3.4k

• visva89/pTVreg

  Deformable image registration (alignment) toolbox

  Language:Matlab9323

• luator/sr_stack

  Create super resolution image by stacking multiple images.

  Language:Python61

• kunzmi/ImageStackAlignator

  Implementation of Google's Handheld Multi-Frame Super-Resolution algorithm (from Pixel 3 and Pixel 4 camera)

  Language:C#39966

• enricivi/super_resolution

  Super-resolution is a technique that constructs an high-resolution image from several observed low-resolution images.

  Language:Matlab1912

• seunghwanyoo/bayesian_vid_sr

  implementation of a bayesian video super-resolution

  Language:Matlab308

• ricardoborsoi/Adap_SRR

  A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations

  Language:MATLAB41

• ricedsp/prDeep

  This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

  Language:Matlab4412

• ZhouYou-NJU/WGDG_demo

  Lensless imaging reconstruction code using Wirtinger gradient descent optimization

  Language:MATLAB144

• haoranleo/Super-Resolution-Image-Reconstruction

  Language:Matlab142

• WanglifuCV/MultiSingleFrameSR

  This repository is devoted to restore Multi-Single Super-Resolution code.

  Language:Matlab1

• linan142857/BRCN

  A unofficial implementation of paper method that 'Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution'

  Language:Python4114

• jorgebaccauis/Phase-retrieval-algorithm-via-nonconvex-minimization-using-a-smoothing-function

  Coded of Phase retrieval algorithm via nonconvex minimization using a smoothing function

  12

• rafaelmaeuer/MultiFrameSuperResolution

  A Multi Frame Super Resolution Tool based on Matlab

  Language:MATLAB356

• shihao1007/python-holographic-imaging

  Python script for handling the image processing and data reconstruction of the holographic imaging system

  Language:Python2

• zdenyhraz/IPC

  Iterative phase correlation algorithm for high precision subpixel image registration

  92

• MartinSt80/PhaseRetrievalGUI

  Graphical user interface for the phase retrieval algorithm, described by Hanser et al. 2004

  Language:Python1

• mdw771/multidist_phase_retrieval

  Multi-distance phase retrieval based on automatic differentiation

  Language:Python3

• haoyuanli93/Phasing

  Multiple Alternating Projection Algorithms for Phase Retrieval

  Language:Jupyter Notebook63

• tuelwer/phase-retrieval

  Python 3 implementation of Fienup's phase retrieval algorithms

  Language:Python325

• alex000kim/ImReg

  Image Registration Algorithms

  Language:Jupyter Notebook264

• LiuLiluZJU/RGRB-3D-2D-Registration

  Python implement of Robust Gradient-Based 3-D/2-D registration

  Language:Python5