| Impact of COVID‐19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short‐Term Memory D Štifanić, J Musulin, A Miočević, S Baressi Šegota, R Šubić, Z Car Complexity 2020 (1), 1846926, 2020 | 87 | 2020 |
| An enhanced histopathology analysis: An ai-based system for multiclass grading of oral squamous cell carcinoma and segmenting of epithelial and stromal tissue J Musulin, D Štifanić, A Zulijani, T Ćabov, A Dekanić, Z Car Cancers 13 (8), 1784, 2021 | 68 | 2021 |
| Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review J Musulin, S Baressi Šegota, D Štifanić, I Lorencin, N Anđelić, T Šušteršič, ... International journal of environmental research and public health 18 (8), 4287, 2021 | 58 | 2021 |
| Comparison of conventional and heat balance based energy analyses of steam turbine V Medica-Viola, S Baressi Šegota, V Mrzljak, D Štifanić Pomorstvo 34 (1), 74-85, 2020 | 49 | 2020 |
| Frigate speed estimation using CODLAG propulsion system parameters and multilayer perceptron S Baressi Šegota, I Lorencin, J Musulin, D Štifanić, Z Car NAŠE MORE: znanstveni časopis za more i pomorstvo 67 (2), 117-125, 2020 | 30 | 2020 |
| Edge detector-based hybrid artificial neural network models for urinary bladder cancer diagnosis I Lorencin, N Anđelić, S Baressi Šegota, J Musulin, D Štifanić, V Mrzljak, ... Enabling AI Applications in Data Science, 225-245, 2021 | 17 | 2021 |
| Semantic segmentation of urinary bladder cancer masses from ct images: A transfer learning approach S Baressi Šegota, I Lorencin, K Smolić, N Anđelić, D Markić, V Mrzljak, ... Biology 10 (11), 1134, 2021 | 16 | 2021 |
| Semantic segmentation of chest X-ray images based on the severity of COVID-19 infected patients D Štifanić, J Musulin, Z Jurilj, S Šegota, I Lorencin, N Anđelić, S Vlahinić, ... EAI Endorsed Trans. Bioeng. Bioinform 1, e3, 2021 | 15 | 2021 |
| Automated grading of oral squamous cell carcinoma into multiple classes using deep learning methods J Musulin, D Štifanić, A Zulijani, SB Šegota, I Lorencin, N Anđelić, Z Car 2021 IEEE 21st international conference on bioinformatics and bioengineering …, 2021 | 11 | 2021 |
| Preparation of simplified molecular input line entry system notation datasets for use in convolutional neural networks SB Šegota, N Anđelić, I Lorencin, J Musulin, D Štifanić, Z Car 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering …, 2021 | 11 | 2021 |
| Use of convolutional neural network for fish species classification D Štifanić, J Musulin, Z Car, R Čep Pomorski zbornik 59 (1), 131-142, 2020 | 8 | 2020 |
| Enabling AI Applications in Data Science I Lorencin, N Anđelić, SB Šegota, J Musulin, D Štifanić, V Mrzljak, ... Springer, 2020 | 6 | 2020 |
| DATASET SIZE-BASED APPROACH IN DESIGN OF ARTIFICIAL NEURAL NETWORK FOR BREAST CANCER DIAGNOSIS I Lorencin, N Anđelić, S Baressi Šegota, D Štifanić, J Musulin, V Mrzljak, ... World of Health, 2020 | 6 | 2020 |
| On the use of a genetic algorithm for determining Ho–cook coefficients in continuous path planning of industrial robotic manipulators T Grenko, S Baressi Šegota, N Anđelić, I Lorencin, D Štifanić, J Štifanić, ... Machines 11 (2), 167, 2023 | 5 | 2023 |
| Multiclass classification of oral squamous cell carcinoma J Musulin, D Štifanić, A Zulijani, Z Car Ri-STEM-2021 7, 2021 | 4 | 2021 |
| Use of artificial neural network for estimation of propeller torque values in a codlag propulsion system S Baressi Šegota, D Štifanić, K Ohkura, Z Car Pomorski zbornik 58 (1), 25-38, 2020 | 4 | 2020 |
| COMPARISON OF THREE ARTIFICIAL INTELLIGENCE ALGORITHMS FOR SEPSIS PREDICTION J Musulin, D Štifanić, I Lorencin, S Baressi Šegota, N Anđelić, E Borović, ... World of Health, 2020 | 4 | 2020 |
| On differentiating synthetic and real data in medical applications SB Šegota, N Anđelić, D Štifanić, J Štifanić, Z Car Applied Artificial Intelligence 2, 2023 | 3 | 2023 |
| Determining Inverse Kinematics of a Serial Robotic Manipulator Through the Use of Genetic Programming Algorithm Z Car, SB Šegota, N Anđelić, I Lorencin, J Musulin, D Štifanić, V Mrzljak Proceedings of 8th International Conference of Serbian Society of Mechanics …, 2021 | 3 | 2021 |
| Applying Regressive Machine Learning Techniques in Determination of COVID-19 Vaccinated Patients’ Influence on the Number of Confirmed and Deceased Patients S Baressi Šegota, I Lorencin, N Anđelić, J Musulin, D Štifanić, M Glučina, ... Mathematics 10 (16), 2925, 2022 | 2 | 2022 |
