Mădălin Mămuleanu

Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images

C. Streba, I. Gheonea, L. Florescu, 2022, Life.

Malignant Bone Tumors Diagnosis Using Magnetic Resonance Imaging Based on Deep Learning Algorithms

D. Selișteanu, V. Georgeanu, Mădălin Mămuleanu, 2022, Medicina.

OrbiPro – a toolbox for accurate orbit propagation

T. Ceolin, J. Grzymisch, Mădălin Mămuleanu, 2018 .

Convolutional Neural Networks for Automated Detection and Classification of Bone Tumors in Magnetic Resonance Imaging

D. Selișteanu, V. Georgeanu, Mădălin Mămuleanu, 2021, 2021 IEEE International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC).

Resource Management through Artificial Intelligence in Screening Programs—Key for the Successful Elimination of Hepatitis C

C. Oancea, D. Gheonea, C. Streba, 2022, Diagnostics.

Deep Learning Algorithms in the Automatic Segmentation of Liver Lesions in Ultrasound Investigations

C. Streba, C. Kamal, A. Ionescu, 2022, Life.

Using MQTT Protocol for Remote Monitoring of Low and Medium Power Electrical Network

D. Selișteanu, Mădălin Mămuleanu, Anca Albița, 2021, International Conference on Engineering of Modern Electric Systems.

An Automated Method for Classifying Liver Lesions in Contrast-Enhanced Ultrasound Imaging Based on Deep Learning Algorithms

C. Streba, C. Kamal, A. Ionescu, 2023, Diagnostics.

Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with Clinicians

C. Streba, A. Ciocâlteu, Mădălin Mămuleanu, 2023, Diagnostics.

CT Imaging Patterns in Major Histological Types of Lung Cancer

I. Gheonea, L. Florescu, Mădălin Mămuleanu, 2024, Life.