Luis A. de Souza

Regensburg University of Applied Sciences — Germany

Medicine · Health Sciences

17h-index1.1kcitations34works8.42yr avg
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Research Topics

Esophageal Cancer Research and Treatment(16), Gastric Cancer Management and Outcomes(10), Lung Cancer Diagnosis and Treatment(8), Colorectal Cancer Screening and Detection(5), Generative Adversarial Networks and Image Synthesis(4)

Publications34 total

MetaBlock-SE: A Method to Deal With Missing Metadata in Multimodal Skin Cancer Classification
IEEE Journal of Biomedical and Health Informatics·2025· 2 cited
Evaluating Transformer-Based Architectures for Simultaneous Audio Speech Transcription and Background Audio Captioning
2025Open Access
Evaluating Deep Neural Skin Cancer Classifiers With Multiple Images Inputs
2025Open Access
TransConv: a lightweight architecture based on transformers and convolutional neural networks for adenocarcinoma and Barrett’s esophagus identification
Neural Computing and Applications·2025
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection
2024· 6 cited
Retraction Note: Learning visual representations with optimum-path forest and its applications to Barrett’s esophagus and adenocarcinoma diagnosis
Neural Computing and Applications·2024Open Access
Layer-selective deep representation to improve esophageal cancer classification
Medical & Biological Engineering & Computing·2024· 2 citedOpen Access
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus
Neural Computing and Applications·2024· 3 citedOpen Access
A review of deep learning‐based approaches for deepfake content detection
Expert Systems·2024· 63 citedOpen Access
A Review of Deep Learning-based Approaches for Deepfake Content Detection
2023· 25 citedOpen Access
Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation
Computers in Biology and Medicine·2023· 22 citedOpen Access
Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm
Gut·2022· 30 citedOpen Access
A fuzzy distance-based ensemble of deep models for cervical cancer detection
Computer Methods and Programs in Biomedicine·2022· 118 citedOpen Access
A Review of Deep Learning-based Approaches for Deepfake Content Detection
arXiv (Cornell University)·2022· 15 citedOpen Access
List of contributors
Elsevier eBooks·2022
Detecting atherosclerotic plaque calcifications of the carotid artery through optimum-path forest
Elsevier eBooks·2022· 2 citedOpen Access
Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box
Computers in Biology and Medicine·2021· 63 citedOpen Access
Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision
Informatik aktuell·2021· 2 cited
Fine-tuning Generative Adversarial Networks using Metaheuristics
Informatik aktuell·2021· 10 cited
Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of artificial intelligence: a pilot study
Endoscopy·2020· 66 citedOpen Access
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Frequent Co-authors

João Paulo Papa(26), Christoph Palm(22), Robert Mendel(18), Alanna Ebigbo(15), Andreas Probst(15), Helmut Messmann(15), Leandro A. Passos(10), David Rauber(6), André G. C. Pacheco(5), Johannes Manzeneder(4), Friederike Prinz(4), Kelton Augusto Pontara da Costa(4), Christian Hook(4), Luis C. S. Afonso(4), Marcos Cleison Silva Santana(4), Danilo Samuel Jodas(3), Douglas Rodrigues(3), Javier Del Ser(3), David Camacho(3), Thiago Oliveira-Santos(3)