Alfredo Illanes

发表

Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features

Elmer Jeto Gomes Ataide, Ponugoti Nikhila, Alfredo Illanes, 2020, Sensors.

Feasibility Check: Can Audio Be a Simple Alternative to Force-Based Feedback for Needle Guidance?

Christian Hansen, Alfredo Illanes, Michael Friebe, 2020, MICCAI.

Lightweight Residual Network for The Classification of Thyroid Nodules pdf

Elmer Jeto Gomes Ataide, Ponugoti Nikhila, Alfredo Illanes, 2019, ArXiv.

Anatomical Structure Segmentation in Ultrasound Volumes Using Cross Frame Belief Propagating Iterative Random Walks

Pabitra Mitra, Alfredo Illanes, Michael Friebe, 2019, IEEE Journal of Biomedical and Health Informatics.

A qualitative dynamical model for cardiotocography simulation

Alfredo Illanes, Francisco Guerra, Michel Haritopoulos, 2015, 2015 Computing in Cardiology Conference (CinC).

Parametrical modelling for texture characterization—A novel approach applied to ultrasound thyroid segmentation

Alfredo Illanes, Michael Friebe, Prabal Poudel, 2019, PloS one.

Fetal heart rate feature extraction from cardiotocographic recordings through autoregressive model's power spectral- and pole-based analysis

Alfredo Illanes, Michel Haritopoulos, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Seizure prediction with cross-higher-order spectral analysis of EEG signals

Javad Haddadnia, Alfredo Illanes, Michael Friebe, 2019, Signal, Image and Video Processing.

Alfredo Illanes, Michael Friebe, Rajan Patel, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Improved Acquisition of Vibroarthrographic Signals of the Knee Joint

Moritz Spiller, Alfredo Illanes, Michael Friebe, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Auscultation System for Acquisition of Vascular Sounds – Towards Sound-Based Monitoring of the Carotid Artery

Moritz Spiller, Alfredo Illanes, Michael Friebe, 2020, Medical devices.

Assessment of Sound Features for Needle Perforation Event Detection

Francesco Renna, Alfredo Illanes, Michael Friebe, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

In-room ultrasound fusion combined with fully compatible 3D-printed holding arm – rethinking interventional MRI

Alfredo Illanes, Michael Friebe, Axel Boese, 2018, Medical devices.

Patch Based Texture Classification of Thyroid Ultrasound Images using Convolutional Neural Network

Alfredo Illanes, Michael Friebe, Maryam Sadeghi, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Characterization of a carotid distension waveform from audio signal acquired with a stethoscope

Alfredo Illanes, Michael Friebe, Axel Boese, 2017, 2017 Computing in Cardiology (CinC).

Progressive fetal distress estimation by characterization of fetal heart rate decelerations response based on signal variability in cardiotocographic recordings

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2017, 2017 Computing in Cardiology (CinC).

Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing

Nassir Navab, Alfredo Illanes, Michael Friebe, 2018, Scientific Reports.

Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning

Alfredo Illanes, Michael Friebe, Axel Boese, 2019, Comput. Biol. Medicine.

Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach

Nassir Navab, Alfredo Illanes, Michael Friebe, 2020, Sensors.

Passive artifact behavior prediction of interventional tools in high-field MRI using a 0.55T portable benchtop MR scanner

Alfredo Illanes, Michael Friebe, Johannes Krug, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Distortion indicator algorithm for simple artifact assessment of passive MRI markers

Alfredo Illanes, Michael Friebe, Johannes Krug, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Assessing MRI susceptibility artefact through an indicator of image distortion

Alfredo Illanes, Michael Friebe, Johannes W Krug, 2016 .

A Preliminary Study on Automatic Characterization and Classification of Vascular Patterns of Contact Endoscopy Images *

Alfredo Illanes, Michael Friebe, Axel Boese, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Integration of Acoustic Emission and Ultrasound for Needle Guidance in Interventional Procedures

Alfredo Illanes, Michael Friebe, Laveena Kewlani, 2020 .

Design of an Auscultation System for Phonoangiography and Monitoring of Carotid Artery Diseases

Alfredo Illanes, Michael Friebe, Axel Boese, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Spectral-Based Analysis of Progressive Dynamical Changes in the Fetal Heart Rate Signal During Labor by Using Empirical Mode Decomposition

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2018, 2018 Computing in Cardiology Conference (CinC).

Proximally placed signal acquisition sensoric for robotic tissue tool interactions

Alfredo Illanes, Michael Friebe, Axel Boese, 2018 .

Novel automated vessel pattern characterization of larynx contact endoscopic video images

Alfredo Illanes, Michael Friebe, Axel Boese, 2019, International Journal of Computer Assisted Radiology and Surgery.

Cardiotocographic Signal Feature Extraction Through CEEMDAN and Time-Varying Autoregressive Spectral-Based Analysis for Fetal Welfare Assessment

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2019, IEEE Access.

Combination of logical conditions and arithmetic operations to assign a mark to a course based on multidimensional learning outcomes

Alfredo Illanes, Jorge Maturana, Guillaume Sérandour, 2016 .

Cardiotocograph Data Classification Improvement by Using Empirical Mode Decomposition*

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Surgical audio information as base for haptic feedback in robotic-assisted procedures

Alfredo Illanes, Michael Friebe, Axel Boese, 2020 .

Time-varying acoustic emission characterization for guidewire coronary artery perforation identification

Alfredo Illanes, Michael Friebe, Axel Boese, 2017, 2017 Computing in Cardiology (CinC).

Higher Order Statistical Analysis for Thyroid Texture Classification and Segmentation in 2D ultrasound Images

Alfredo Illanes, Michael Friebe, Prabal Poudel, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Thyroid Ultrasound Texture Classification Using Autoregressive Features in Conjunction With Machine Learning Approaches

Alfredo Illanes, Michael Friebe, Prabal Poudel, 2019, IEEE Access.

Intravascular endoscopy improvement through narrow-band imaging

Alfredo Illanes, Michael Friebe, Axel Boese, 2017, International Journal of Computer Assisted Radiology and Surgery.

Cyclostationary analysis of ECG signals acquired inside an ultra-high field MRI scanner

Asoke K. Nandi, Alfredo Illanes, Michael Friebe, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Survey on Cardiotocography Feature Extraction Algorithms for Foetal Welfare Assessment

Asoke K. Nandi, Alfredo Illanes, Michel Haritopoulos, 2016 .

Novel Ultrasound Texture Based Similarity Metric Using Autoregressive Modelling

Alfredo Illanes, Michael Friebe, Sathish Balakrishnan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Surgical Audio Guidance SurAG: Extracting Non-Invasively Meaningful Guidance Information During Minimally Invasive Procedures

Alfredo Illanes, Michael Friebe, Axel Boese, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches

Alfredo Illanes, Michael Friebe, Debdoot Sheet, 2018, Journal of healthcare engineering.

Vascular Auscultation of Carotid Artery: Towards Biometric Identification and Verification of Individuals

Moritz Spiller, Pinar Bisgin, Alfredo Illanes, 2021, Sensors.

Study of needle punctures into soft tissue through audio and force sensing: can audio be a simple alternative for needle guidance?

Christian Hansen, Alfredo Illanes, Michael Friebe, 2021, International Journal of Computer Assisted Radiology and Surgery.

Deep Convolution Neural Network for Laryngeal Cancer Classification on Contact Endoscopy-Narrow Band Imaging

Nassir Navab, Elmer Jeto Gomes Ataide, Alfredo Illanes, 2021, Sensors.

Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?

Eyad Elyan, Alfredo Illanes, Roland Croner, 2021, Sensors.

Analysis of the foetal heart rate in cardiotocographic recordings through a progressive characterization of decelerations

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2017 .

Independent Analysis of Decelerations and Resting Periods through CEEMDAN and Spectral-Based Feature Extraction Improves Cardiotocographic Assessment

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2019 .

Vascular pattern detection and recognition in endoscopic imaging of the vocal folds

Alfredo Illanes, Michael Friebe, Axel Boese, 2018, Current Directions in Biomedical Engineering.

Evaluation of Vascular Patterns Using Contact Endoscopy and Narrow-Band Imaging (CE-NBI) for the Diagnosis of Vocal Fold Malignancy

Alfredo Illanes, Michael Friebe, Axel Boese, 2020, Cancers.

Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling

Frank Ortmeier, Alfredo Illanes, Patricio Fuentealba, 2018, Current Directions in Biomedical Engineering.