Valentin Delchevalerie

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Bessel-CNNs: Rotation-Invariant and Multichannel Image Recognition with Bessel Functions, Bi-Quaternions and Clifford Algebras
Delchevalerie, V. (PI), Frénay, B. (Supervisor) & Mayer, A. (CoI)
1/01/23 → 30/09/24
Project: Research
Bessel-CNNs: Rotation-Invariant and Multichannel Image Recognition with Bessel Functions, Bi-Quaternions and Clifford Algebras
Delchevalerie, V. (PI), Frénay, B. (Supervisor) & Mayer, A. (CoI)
1/10/20 → 31/12/22
Project: Research

5 Conference contribution
5 Article
3 Preprint

Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe
Amante, E., Ghyselinck, R., Thiberville, L., Trisolini, R., Guisier, F., Delchevalerie, V., Dumas, B., Frénay, B., Duparc, I., Mazellier, N., Farhi, C., Jubert, C., Salaün, M. & Lachkar, S., Sept 2025, In: Respirology. 30, 9, p. 861-870 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
10 Downloads (Pure)
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation
Ghyselinck, R., Delchevalerie, V., Dumas, B. & Frénay, B., 2025, In: Transactions on Machine Learning Research. 2025-May
Research output: Contribution to journal › Article › peer-review
Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models
Delchevalerie, V., Roy, N., Bougaham, A., Mayer, A., Frénay, B. & Lobet, M., 2 Oct 2025.
Research output: Working paper › Preprint

File
10 Downloads (Pure)
Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy
Ghyselinck, R., Delchevalerie, V., Poitier, P., Frénay, B. & Dumas, B., 16 Oct 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press, p. 1527 - 1534 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).
Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Open Access
File
69 Downloads (Pure)
From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images
Delchevalerie, V., Frénay, B. & Mayer, A., 2024, ESANN 2024 Proceedings - The 32th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 643-648 (ESANN 2024 Proceedings).
Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Open Access

3 Participation in conference
3 Participation in workshop, seminar, course
1 Participation to a Symposium, a study Day
1 Festival/Exhibition

KIKK Festival 2022
ANDRE, M. (Participant), Fink, J. (Participant), Poitier, P. (Participant), Corbugy, S. (Participant), DARDENNE, C. (Participant) & Delchevalerie, V. (Participant)
27 Oct 2022 → 30 Oct 2022
Activity: Participating in or organising an event types › Festival/Exhibition
6th International Gran Canaria School on Deep Learning
Delchevalerie, V. (Participant)
25 Jul 2022 → 29 Jul 2022
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
naXys Research Day 2022
Delchevalerie, V. (Contributor)
13 May 2022
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
35th Conference on Neural Information Processing Systems
Delchevalerie, V. (Poster)
6 Dec 2021 → 14 Dec 2021
Activity: Participating in or organising an event types › Participation in conference
BENet21
Delchevalerie, V. (Poster)
18 Nov 2021
Activity: Participating in or organising an event types › Participation to a Symposium, a study Day

Exploiting Physics to Constrain Convolutional Neural Networks: From using Bessel functions for equivariance to quaternions for 3D image processing
Delchevalerie, V. (Author), Frénay, B. (Supervisor), Mayer, A. (Co-Supervisor), Vanhoof, W. (President), Perrouin, G. (Jury), Lee, J. A. (Jury) & Temple, P. (Jury), 13 Sept 2024
Student thesis: Doc types › Doctor of Sciences

File

Findings from University of Namur Provides New Data about Machine Learning (When Magnetron Sputtering Deposition Meets Machine Learning: Application To Process Anomaly Detection)
Lucas, S., Frénay, B., Haye, E. & Delchevalerie, V.
19/02/24
1 item of Media coverage
Press/Media: Expert Comment

Valentin Delchevalerie

Personal profile

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Collaborations and top research areas from the last five years

Dive into details

Bessel-CNNs: Rotation-Invariant and Multichannel Image Recognition with Bessel Functions, Bi-Quaternions and Clifford Algebras

Bessel-CNNs: Rotation-Invariant and Multichannel Image Recognition with Bessel Functions, Bi-Quaternions and Clifford Algebras

Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe

On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation

Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models

Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy

From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images

KIKK Festival 2022

6th International Gran Canaria School on Deep Learning

naXys Research Day 2022

35th Conference on Neural Information Processing Systems

BENet21

Exploiting Physics to Constrain Convolutional Neural Networks: From using Bessel functions for equivariance to quaternions for 3D image processing

Findings from University of Namur Provides New Data about Machine Learning (When Magnetron Sputtering Deposition Meets Machine Learning: Application To Process Anomaly Detection)

Valentin Delchevalerie

Personal profile

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output

Activities

Thesis

Press/Media