activity
20222026
most citedA comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation

84 citations · 91 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Learning Unified Representations of Normalcy for Time Series Anomaly Detection

Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1

The core challenge in unsupervised anomaly detection is identifying abnormal patterns without prior knowledge of their characteristics. While existing methods have addressed aspect…

cs.CV2025

Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?

Sushmita Sarker, Prithul Sarker, George Bebis +1

The remarkable success of deep learning in recent years has prompted applications in medical image classification and diagnosis tasks. While classification models have demonstrated…

cs.LG2024★ 3 cited

General Geospatial Inference with a Population Dynamics Foundation Model

Mohit Agarwal, Mimi Sun, Chaitanya Kamath +31

Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex rel…

cs.CV2024★ 84 cited

A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation

Sushmita Sarker, Prithul Sarker, Gunner Stone +4

Point cloud analysis has a wide range of applications in many areas such as computer vision, robotic manipulation, and autonomous driving. While deep learning has achieved remarkab…

cs.CV2024★ 3 cited

MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer

Sushmita Sarker, Prithul Sarker, George Bebis +1

Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis. In clinical practice, however, radiologists concurrent…

eess.IV2022★ 1 cited

ConnectedUNets++: Mass Segmentation from Whole Mammographic Images

Prithul Sarker, Sushmita Sarker, George Bebis +1

Deep learning has made a breakthrough in medical image segmentation in recent years due to its ability to extract high-level features without the need for prior knowledge. In this…

eess.IV2022

Virtual-Reality based Vestibular Ocular Motor Screening for Concussion Detection using Machine-Learning

Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker +4

Sport-related concussion (SRC) depends on sensory information from visual, vestibular, and somatosensory systems. At the same time, the current clinical administration of Vestibula…

physics.med-ph2022

Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection using BiLSTM

Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom +3

The sport-related concussion (SRC) battery relies heavily upon subjective symptom reporting in order to determine the diagnosis of a concussion. Unfortunately, athletes with SRC ma…

cs.HC2022

VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect

Prithul Sarker, Nasif Zaman, Alireza Tavakkoli

The relative afferent asymmetry between two eyes can be diagnosed using swinging flashlight test, also known as the alternating light test. This remains one of the most used clinic…