Esla Timothy Anzaku

PhD Thesis
open access

Toward reliable deep neural networks : disentangling modeling and evaluation artifacts in image recognition

Esla Timothy Anzaku (UGent)

(2026)

Journal Article
A2
open access

Inductive conformal prediction for guaranteed class-label coverage in object detection

Mohammed Aliy Mohammed (UGent) , Esla Timothy Anzaku (UGent) , Jef Jonkers (UGent) , Janarthanan Krishnamoorthy, Wesley De Neve (UGent) and Sofie Van Hoecke (UGent)

(2026) JOURNAL OF IMAGING. 12(8).

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Conference Paper
C1
open access

Balancing redundancy and diversity : an in-depth analysis of active learning for laparoscopic video segmentation

Seyed Amir Mousavi (UGent) , Esla Timothy Anzaku (UGent) , Utku Özbulak (UGent) , Robbe De Muynck, Francesca Tozzi (UGent) , Niki Rashidian (UGent) , Wouter Willaert (UGent) and Wesley De Neve (UGent)

(2025) Proceedings of the Third MICCAI Workshop : Data Engineering in Medical Imaging. In Lecture Notes in Computer Science 16191. p.244-254

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Journal Article
A1
open access

Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images : a comprehensive in- and out-of-distribution evaluation of YOLOv7 variants

Mohammed Aliy Mohammed (UGent) , Esla Timothy Anzaku (UGent) , Peter Ward (UGent) , Bruno Levecke (UGent) , Janarthanan Krishnamoorthy, Wesley De Neve (UGent) and Sofie Van Hoecke (UGent)

(2025) PLOS NEGLECTED TROPICAL DISEASES. 19(7).

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Journal Article
A1
open access

Re-assessing accuracy degradation : a framework for understanding DNN behavior on similar-but-non-identical test datasets

Esla Timothy Anzaku (UGent) , Haohan Wang, Ajiboye Babalola, Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2025) MACHINE LEARNING. 114(3).

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Self-supervised benchmark lottery on ImageNet : do marginal improvements translate to improvements on similar datasets?

Utku Özbulak (UGent) , Esla Timothy Anzaku (UGent) , Solha Kang (UGent) , Wesley De Neve (UGent) and Joris Vankerschaver (UGent)

(2024) 2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024. In IEEE International Joint Conference on Neural Networks (IJCNN)

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Conference Paper
P1
open access

A reference-based approach for tumor size estimation in monocular laparoscopic videos

Seyed Amir Mousavi (UGent) , Francesca Tozzi (UGent) , Homin Park, Esla Timothy Anzaku (UGent) , Matthias Van Liefferinge (UGent) , Niki Rashidian (UGent) , Wouter Willaert (UGent) and Wesley De Neve (UGent)

(2024) COMPUTATIONAL MATHEMATICS MODELING IN CANCER ANALYSIS, CMMCA 2024. In Lecture Notes in Computer Science 15181. p.11-20

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Conference Paper
P1
open access

Leveraging human-machine interactions for computer vision dataset quality enhancement

Esla Timothy Anzaku (UGent) , Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, JongBum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2024) INTELLIGENT HUMAN COMPUTER INTERACTION, IHCI 2023, PT I. In Lecture Notes in Computer Science 14531. p.295-309

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Know your self-supervised learning : a survey on image-based generative and discriminative training

Utku Özbulak (UGent) , Hyun Jung Lee (UGent) , Beril Boga, Esla Timothy Anzaku (UGent) , Homin Park, Arnout Van Messem (UGent) , Wesley De Neve (UGent) and Joris Vankerschaver (UGent)

(2023) TRANSACTIONS ON MACHINE LEARNING RESEARCH.

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Journal Article
A1
open access

Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection

Esla Timothy Anzaku (UGent) , Mohammed Aliy Mohammed (UGent) , Utku Özbulak (UGent) , Jongbum Won, Hyesoo Hong, Janarthanan Krishnamoorthy, Sofie Van Hoecke (UGent) , Stefan Magez (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2023) SCIENTIFIC DATA. 10(1).

Academic Bibliography

Esla Timothy Anzaku

Toward reliable deep neural networks : disentangling modeling and evaluation artifacts in image recognition

Inductive conformal prediction for guaranteed class-label coverage in object detection

Balancing redundancy and diversity : an in-depth analysis of active learning for laparoscopic video segmentation

Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images : a comprehensive in- and out-of-distribution evaluation of YOLOv7 variants

Re-assessing accuracy degradation : a framework for understanding DNN behavior on similar-but-non-identical test datasets

Self-supervised benchmark lottery on ImageNet : do marginal improvements translate to improvements on similar datasets?

A reference-based approach for tumor size estimation in monocular laparoscopic videos

Leveraging human-machine interactions for computer vision dataset quality enhancement

Know your self-supervised learning : a survey on image-based generative and discriminative training

Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection

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