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access2024

Adversarial learning for MRI reconstruction and classification of cognitively impaired individuals

ajpa2021

Deep learning driven quantification of interstitial fibrosis in kidney biopsies

ajpa2024

Graph perceiver network for lung tumor and premalignant lesion stratification from histopathology

ar2021

Subchondral bone length in knee osteoarthritis: A deep learning driven imaging measure and its association with radiographic and clinical outcomes

azrt2020

Enhancing magnetic resonance imaging driven Alzheimer’s disease classification performance using generative adversarial learning

azrt2021

Detection of dementia on voice recordings using deep learning: a Framingham Heart Study

brain2020

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

dreamer

DREAMER: Data REAdiness for MachinE learning Research

er2020

Assessment of knee pain from MR imaging using a convolutional Siamese network

hbm2024

Disease-driven domain generalization for neuroimaging-based assessment of Alzheimer's disease

iscience2023

Deep learning for risk-based stratification of cognitively impaired individuals

jad2023

Fusion of low-level descriptors of digital voice recordings for dementia assessment

jad2024

kir2024

A web-based tool for real-time adequacy assessment of kidney biopsies

medpodgpt

MedPodGPT: A multilingual audio-augmented large language model for medical research and education

multi-gpu

ncomms2022

Multimodal deep learning for Alzheimer's disease dementia assessment

nmed2024

AI-based differential diagnosis of dementia etiologies on multimodal data

peds2019

Quantifying the nativeness of antibody sequences using long short-term memory networks

python_speech_features_cuda

This is a re-implementation of "Python Speech Features" that offers up to hundreds of times performance boost on CUDA enabled GPUs.

skra2024

Survival analysis on subchondral bone length for total knee replacement

tmi2022

A graph-transformer for whole slide image classification

tmi2024

Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival

unaah

U-Net-and-a-half

vkola-lab-docs

Knowledge base for the Kolachalama lab

vkola-lab.github.io

Kolachalama laboratory