Azka Rehman

According to our database, Azka Rehman authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Intelligent healthcare system for IoMT-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation.

Muhammad Usman, Azka Rehman, Sharjeel Masood, Tariq Mahmood Khan, Junaid Qadir

Internet Things, April, 2024

MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection.

Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Yeong-Gil Shin

Eng. Appl. Artif. Intell., 2024

2023

Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation.

Azka Rehman, Muhammad Usman, Abdullah Shahid, Siddique Latif, Junaid Qadir

Sensors, February, 2023

MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan.

Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Sung Hyun Kim, Tariq Mahmood Khan, Yeong-Gil Shin

CoRR, 2023

2022

Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.

Muhammad Usman, Azka Rehman, Amal Muhammad Saleem, Rabeea Jawaid, Shi Sub Byon, Sung-Hyun Kim, Byoung-Dai Lee, Min-Suk Heo, Yeong-Gil Shin

Sensors, 2022

MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection.

Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Byoung-Dai Lee, Sung Hyun Kim, Byung IlLee, Yeong-Gil Shin

CoRR, 2022

Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.

Azka Rehman, Muhammad Usman, Rabeea Jawaid, Shi Sub Byon, Sung Hyun Kim, Byoung-Dai Lee, Byung IlLee, Yeong-Gil Shin

CoRR, 2022