Dirk Deschrijver - Publications, H-index & Citations

Dirk Deschrijver

idlab

32H指数

254论文数

4.5K被引数

收录论文 31

发表时间

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening 结合磁共振成像和诱发电位增强机器学习对多发性硬化症残疾恶化的预测

Frontiers in Immunology

IF5.9

2026-04-17

OAAI

SA Sofie Aerts †; LW Lorin Werthen-Brabants †; HK Hamza Khan †; DL Diana L. Giraldo; ED Edward De Brouwer; LG Lotte Geys; VP Veronica Popescu; JS Jan Sijbers; HC Henry C. Woodruff; TD Tom Dhaene; DD Dirk Deschrijver; BV Bart Van Wijmeersch; PL Philippe Lambin; LM Liesbet M. Peeters

Data-driven hypothesis discovery from disease trajectories in multiple sclerosis 基于多发性硬化症疾病轨迹的数据驱动假设发现

Frontiers in Immunology

IF5.9

2026-04-14

OAAI

NJ Niels Jodts; LW Lorin Werthen-Brabants; SA Sofie Aerts; LM Liesbet M. Peeters; BV Bart Van Wijmeersch; CH Charlotte Herzeel; CM Christel Meertens; RW Roel Wuyts; TD Tom Dhaene; DD Dirk Deschrijver

KARMA: Kernel-Aided Rational Macromodeling of Noisy Electrical Frequency Response Data KARMA: 噪声电频率响应数据的核辅助有理宏观建模

IEEE Transactions on Microwave Theory and Techniques

IF4.5

2025-10-31

PREAI

Thijs Ullrick; Dirk Deschrijver; Wim Bogaerts; Tom Dhaene

Wavelength-tunable equivalent circuit models for SPICE-based photonic-electronic co-simulation

JOURNAL OF COMPUTATIONAL ELECTRONICS

IF2.5

2025-10-30

PREAI

Ullrick, Thijs; Deschrijver, Dirk; Spina, Domenico; Bogaerts, Wim; Dhaene, Tom

The role of trustworthy and reliable AI for multiple sclerosis 可信赖和可靠的AI在多发性硬化症中的作用

FRONTIERS IN DIGITAL HEALTH

IF3.8

2025-03-24

OAAI

Werthen-Brabants, Lorin; Dhaene, Tom; Deschrijver, Dirk

Interpretable machine learning models for COPD ease of breathing estimation 可解释的机器学习模型用于COPD呼吸顺畅度估计

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

IF2.6

2025-01-14

PREAI

Kok, Thomas T.; Morales, John; Deschrijver, Dirk; Blanco-Almazan, Dolores; Groenendaal, Willemijn; Ruttens, David; Smeets, Christophe; Mihajlovic, Vojkan; Ongenae, Femke; Van Hoecke, Sofie

ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2024-12-01

PREAI

Bontinck, Lennert; Fonteyn, Karel; Dhaene, Tom; Deschrijver, Dirk

Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning

ENERGY AND BUILDINGS

IF7.1

2022-09-01

OAAI

Werthen-Brabants, Lorin; Dhaene, Tom; Deschrijver, Dirk

Split BiRNN for real-time activity recognition using radar and deep learning

SCIENTIFIC REPORTS

IF3.9

2022-05-06

OAAI

Werthen-Brabants, Lorin; Bhavanasi, Geethika; Couckuyt, Ivo; Dhaene, Tom; Deschrijver, Dirk

A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation

SENSORS

IF3.5

2022-02-18

OAAI

Nieves Avendano, Diego; Vandermoortele, Nathan; Soete, Colin; Moens, Pieter; Ompusunggu, Agusmian Partogi; Deschrijver, Dirk; Van Hoecke, Sofie

Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning 使用胸部生物阻抗和深度学习便携式检测呼吸暂停和呼吸不足事件

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

IF6.8

2020-09-01

OAAI

Van Steenkiste, Tom; Groenendaal, Willemijn; Dreesen, Pauline; Lee, Seulki; Klerkx, Susie; de Francisco, Ruben; Deschrijver, Dirk; Dhaene, Tom

Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

IF6.8

2019-11-01

OAAI

Van Steenkiste, Tom; Groenendaal, Willemijn; Deschrijver, Dirk; Dhaene, Tom

Time-domain compact macromodeling of linear photonic circuits via complex vector fitting

PHOTONICS RESEARCH

IF7.2

2019-06-24

PREAI

Ye, Yinghao; Spina, Domenico; Deschrijver, Dirk; Bogaerts, Wim; Dhaene, Tom

Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks 使用siamese神经网络在非侵入式负载监测中检测未识别的电器

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

IF5

2019-01-01

PREAI

De Baets, Leen; Develder, Chris; Dhaene, Tom; Deschrijver, Dirk

ALBATROS: adaptive line-based sampling trajectories for sequential measurements

ENGINEERING WITH COMPUTERS

IF4.9

2018-05-16

PREAI

Van Steenkiste, Tom; van der Herten, Joachim; Deschrijver, Dirk; Dhaene, Tom

Appliance classification using VI trajectories and convolutional neural networks 基于VI轨迹和卷积神经网络的家电分类

ENERGY AND BUILDINGS

IF7.1

2018-01-01

160

OAAI

De Baets, Leen; Ruyssinck, Joeri; Develder, Chris; Dhaene, Tom; Deschrijver, Dirk

Comprehensive feature selection for appliance classification in NILM NILM中家电分类的综合特征选择

ENERGY AND BUILDINGS

IF7.1

2017-09-01

129

OAAI

Sadeghianpourhamami, N.; Ruyssinck, J.; Deschrijver, D.; Dhaene, T.; Develder, C.

On the Bayesian optimization and robustness of event detection methods in NILM

ENERGY AND BUILDINGS

IF7.1

2017-06-01

OAAI

De Baets, Leen; Ruyssinck, Joeri; Develder, Chris; Dhaene, Tom; Deschrijver, Dirk

Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

IF10.7

2016-10-01

PREAI

Mehari, Michael Tetemke; De Poorter, Eli; Couckuyt, Ivo; Deschrijver, Dirk; Vermeeren, Gunter; Plets, David; Joseph, Wout; Martens, Luc; Dhaene, Tom; Moerman, Ingrid

A sequential sampling strategy for adaptive classification of computationally expensive data

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

IF4

2016-09-22

PREAI

Singh, Prashant; van der Herten, Joachim; Deschrijver, Dirk; Couckuyt, Ivo; Dhaene, Tom

研究方向