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researcher

B. W. Papiez

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedMultimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Subgroups Matter for Robust Bias Mitigation

Anissa Alloula, Charles Jones, Ben Glocker +1

Despite the constant development of new bias mitigation methods for machine learning, no method consistently succeeds, and a fundamental question remains unanswered: when and why d…

cs.LG2024

Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery

Yuhan Zheng, Jessie A Elliott, John V Reynolds +3

Esophageal cancer is a major cause of cancer-related mortality internationally, with high recurrence rates and poor survival even among patients treated with curative-intent surger…

eess.IV2021★ 1 cited

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian +1

Segmentation of head and neck (H\&N) tumours and prediction of patient outcome are crucial for patient's disease diagnosis and treatment monitoring. Current developments of robust…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.