6 citations · 20 across the 8 of their papers we have counts for
8 papers
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query
Ho Hin Lee, Alberto Santamaria-Pang, Jameson Merkow +4
We introduce a novel Region-based contrastive pretraining for Medical Image Retrieval (RegionMIR) that demonstrates the feasibility of medical image retrieval with similar anatomic…
Deep Labeling of fMRI Brain Networks
Ammar Ahmed Pallikonda Latheef, Sejal Ghate, Zhipeng Hui +4
Resting State Networks (RSNs) of the brain extracted from Resting State functional Magnetic Resonance Imaging (RS-fMRI) are used in the pre-surgical planning to guide the neurosurg…
Adversarial Attacks with Time-Scale Representations
Alberto Santamaria-Pang, Jianwei Qiu, Aritra Chowdhury +4
We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning models. Our hypothesis is that pert…
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +2
The coronavirus disease (COVID-19) has resulted in a pandemic crippling the a breadth of services critical to daily life. Segmentation of lung infections in computerized tomography…
Emergent symbolic language based deep medical image classification
Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +1
Modern deep learning systems for medical image classification have demonstrated exceptional capabilities for distinguishing between image based medical categories. However, they ar…
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Alberto Santamaria-Pang, James Kubricht, Aritra Chowdhury +2
Recent advances in methods focused on the grounding problem have resulted in techniques that can be used to construct a symbolic language associated with a specific domain. Inspire…
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform
Alberto Santamaria-Pang, Anup Sood, Dan Meyer +2
We present a method for automatic cell classification in tissue samples using an automated training set from multiplexed immunofluorescence images. The method utilizes multiple mar…
ESCELL: Emergent Symbolic Cellular Language
Aritra Chowdhury, James R. Kubricht, Anup Sood +2
We present ESCELL, a method for developing an emergent symbolic language of communication between multiple agents reasoning about cells. We show how agents are able to cooperate an…