Search research articles
Contact Us
Filters
Showing results (11-20 of 32) with videos related to
Page
of 4
Sort By:
Sensors (Basel, Switzerland)
|
March 30, 2023
Deep Monocular Depth Estimation Based on Content and Contextual Features
Saddam Abdulwahab, Hatem A Rashwan, Najwa Sharaf, et al.
Diagnostics (Basel, Switzerland)
|
May 28, 2022
Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences
Mohamed A Hassanien, Vivek Kumar Singh, Domenec Puig, et al.
Sensors (Basel, Switzerland)
|
July 27, 2022
Monocular Depth Estimation Using Deep Learning: A Review
Armin Masoumian, Hatem A Rashwan, Julián Cristiano, et al.
Healthcare Technology Letters
|
February 26, 2019
Fuzzy-entropy threshold based on a complex wavelet denoising technique to diagnose Alzheimer disease
Prinza Lazar, Rajeesh Jayapathy, Jordina Torrents-Barrena, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 2, 2011
On improving the efficiency of tensor voting
Rodrigo Moreno, Miguel Angel Garcia, Domenec Puig, et al.
Entropy (Basel, Switzerland)
|
September 23, 2022
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints
Joao Paulo Schwarz Schuler, Santiago Romani Also, Domenec Puig, et al.
Frontiers in Oncology
|
October 1, 2025
Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework
Adnan Khalid, Muhammad Mursil, Carlos López Pablo, et al.
Computers in Biology and Medicine
|
October 25, 2020
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection
José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 6, 2024
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction
Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, et al.
Bio-Medical Materials and Engineering
|
November 8, 2018
Improving the performance of empirical mode decomposition via Tsallis entropy: Application to Alzheimer EEG analysis
Prinza Lazar, Rajeesh Jayapathy, Jordina Torrents-Barrena, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 32) with videos related to
Sort By:
Page
of 4
Sensors (Basel, Switzerland)
|
March 30, 2023
Deep Monocular Depth Estimation Based on Content and Contextual Features
Saddam Abdulwahab, Hatem A Rashwan, Najwa Sharaf, et al.
Diagnostics (Basel, Switzerland)
|
May 28, 2022
Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences
Mohamed A Hassanien, Vivek Kumar Singh, Domenec Puig, et al.
Sensors (Basel, Switzerland)
|
July 27, 2022
Monocular Depth Estimation Using Deep Learning: A Review
Armin Masoumian, Hatem A Rashwan, Julián Cristiano, et al.
Healthcare Technology Letters
|
February 26, 2019
Fuzzy-entropy threshold based on a complex wavelet denoising technique to diagnose Alzheimer disease
Prinza Lazar, Rajeesh Jayapathy, Jordina Torrents-Barrena, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 2, 2011
On improving the efficiency of tensor voting
Rodrigo Moreno, Miguel Angel Garcia, Domenec Puig, et al.
Entropy (Basel, Switzerland)
|
September 23, 2022
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints
Joao Paulo Schwarz Schuler, Santiago Romani Also, Domenec Puig, et al.
Frontiers in Oncology
|
October 1, 2025
Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework
Adnan Khalid, Muhammad Mursil, Carlos López Pablo, et al.
Computers in Biology and Medicine
|
October 25, 2020
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection
José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 6, 2024
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction
Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, et al.
Bio-Medical Materials and Engineering
|
November 8, 2018
Improving the performance of empirical mode decomposition via Tsallis entropy: Application to Alzheimer EEG analysis
Prinza Lazar, Rajeesh Jayapathy, Jordina Torrents-Barrena, et al.
Page
of 4