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researcher

Theus H. Aspiras

3 papers hereh-index 9339 citations67 works total

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

author position
  • middle author3

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedSkin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks

32 citations · 53 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

UltraLight Med-Vision Mamba for Classification of Neoplastic Progression in Tubular Adenomas

Aqsa Sultana, Nordin Abouzahra, Ahmed Rahu +5

Identification of precancerous polyps during routine colonoscopy screenings is vital for their excision, lowering the risk of developing colorectal cancer. Advanced deep learning a…

cs.CV2019★ 32 cited

Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks

Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +1

In the last few years, Deep Learning (DL) has been showing superior performance in different modalities of biomedical image analysis. Several DL architectures have been proposed fo…

cs.CV2019★ 21 cited

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +4

Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis…

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