Ali Hussain

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Machine Learning

Sentinel Lymph Node

Coronavirus Disease

Top Venues

Sensors (Basel, Switzerland)

Diagnostics (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors (Basel, Switzerland) 23 (2) (2023)
Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors (Basel, Switzerland) 23 (2) (2023)
Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors (Basel, Switzerland) 23 (2) (2023)
Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors (Basel, Switzerland) 22 (24) (2022)
Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors (Basel, Switzerland) 22 (24) (2022)
Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors (Basel, Switzerland) 22 (24) (2022)
Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors (Basel, Switzerland) 22 (24) (2022)
Ali Hussain, Hee Eun Choi, Hyo-Jung Kim, Satyabrata Aich, Muhammad Saqlain, Hee-Cheol Kim
Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques. Diagnostics (Basel, Switzerland) 11 (5) (2021)