Major Bio-Medical Imaging Modalities

Our projects involve robust Machine Learning (ML)/Deep Learning (DL)/Artificial Intelligence (AI) techniques and we apply them to various bio-medical imaging modalities in an organ/disease-agnostic manner. We do not discriminate against any type of data/organs/diseases as we strongly believe in "Building Healthcare - Data as Capital" motto! :-)

Head CT - ICH

Lung/Chest CT

Abdominal CT - ABDSeg, Sarcopenia, GBSeg

DeReCon

DEXA

MOSeg

Colonoscopy - Colonopolyps, Stereo, Registration, PolypSeg, Quality, Celiac, Tumor, Ulcer, ArcEndos

Capsule endoscopy - MucosaSeg, 3D-SfS, Stamping, Illumination, CE-Polyps, Distortion, Bleeding, Compression, Summary

Chromoendoscopy - FICE, NBI

Brain Glioma - StromaSeg, NucleiSeg, Glioma, Analysis

IBD/Ulcerative Colitis/Crohn's Disease

Liver Fibrosis

LungMAP

RDCRN

Breast Cancer

Epifluorescence - Denoising, Segmentation, Clustering

Immunofluorescence - RF-HEp-2, HEp-2SegZoo

Fundoscopy - Retinal-seg

Confocal - Denoising, Deconvolution, Segmentation

ConIFSeg

IHC

FISH

Cryo-EM - Denoising

MALDI-MS

ErythroNet

Brain MRI - MAC-Multiphase segmentation, MSP-Mid saggital plane, Skull stripping, Symmetry, SIMMER, Bleeds, Denoising, iSPi

Liver MRI

MRA

Mammography - Segmentation, Enhancement, Registration

DBT

Thermal imaging

Denoising

Segmentation

Stiffness

PylStenNet

AbsCellUSNet

PEchoNet

Cerebral Palsy - Gait Analysis

GMA

DLVD

3D-Cell-Tracking

Denoising


Chest X-ray (CXR) - PICCLineNet, TracNet, Analysis, LungSeg, LungBoundary, TBScreen

Cardiomegaly

Organ Segmentation

CBXIR

DEXA