activity
20202023
most citedSecure Human Action Recognition by Encrypted Neural Network Inference

51 citations · 54 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023

Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research

Tanjida Kabir, Luyao Chen, Muhammad F Walji +3

Learning about diagnostic features and related clinical information from dental radiographs is important for dental research. However, the lack of expert-annotated data and conveni…

cs.LG2023★ 2 cited

Predicting multiple sclerosis disease severity with multimodal deep neural networks

Kai Zhang, John A. Lincoln, Xiaoqian Jiang +2

Multiple Sclerosis (MS) is a chronic disease developed in human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease i…

cs.CV2021

An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images

Tanjida Kabir, Chun-Teh Lee, Jiman Nelson +6

Periodontitis is a biofilm-related chronic inflammatory disease characterized by gingivitis and bone loss in the teeth area. Approximately 61 million adults over 30 suffer from per…

eess.IV2021

Use of the Deep Learning Approach to Measure Alveolar Bone Level

Chun-Teh Lee, Tanjida Kabir, Jiman Nelson +6

Abstract: Aim: The goal was to use a Deep Convolutional Neural Network to measure the radiographic alveolar bone level to aid periodontal diagnosis. Material and methods: A Deep Le…

cs.CR2021★ 51 cited

Secure Human Action Recognition by Encrypted Neural Network Inference

Miran Kim, Xiaoqian Jiang, Kristin Lauter +2

Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordabl…

q-bio.PE2020★ 1 cited

Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates

Tongtong Huang, Yan Chu, Shayan Shams +7

Objective: We study the influence of local reopening policies on the composition of the infectious population and their impact on future hospitalization and mortality rates. Materi…