Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research

no code implementations • 27 Jun 2023 • Tanjida Kabir, Luyao Chen, Muhammad F Walji, Luca Giancardo, Xiaoqian Jiang, Shayan Shams

Learning about diagnostic features and related clinical information from dental radiographs is important for dental research.

Image Retrieval Representation Learning +1

Predicting multiple sclerosis disease severity with multimodal deep neural networks

1 code implementation • 8 Apr 2023 • Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams

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

Disease Prediction

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

no code implementations • 27 Sep 2021 • Tanjida Kabir, Chun-Teh Lee, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Luyao Chen, Muhammad F Walji, Xioaqian Jiang, Shayan Shams

We developed an end-to-end deep learning network HYNETS (Hybrid NETwork for pEriodoNTiTiS STagES from radiograpH) by integrating segmentation and classification tasks for grading periodontitis from periapical radiographic images.

Multi-Task Learning Segmentation

Use of the Deep Learning Approach to Measure Alveolar Bone Level

no code implementations • 24 Sep 2021 • Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams

Conclusion: The proposed DL model provides reliable RBL measurements and image-based periodontal diagnosis using periapical radiographic images.