Dimitrios Lenis

Orcid: 0000-0002-1563-7683

According to our database1, Dimitrios Lenis authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Multiscale Attention-Based Instance Segmentation for Measuring Crystals With Large Size Variation.
IEEE Trans. Instrum. Meas., 2024

PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks.
CoRR, 2024

Multi-scale attention-based instance segmentation for measuring crystals with large size variation.
CoRR, 2024

2023
Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods.
Comput. Biol. Medicine, March, 2023

On the Importance of Domain Awareness in Classifier Interpretations in Medical Imaging.
IEEE Trans. Medical Imaging, 2023

2022
Multi-Task Fusion for Improving Mammography Screening Data Classification.
IEEE Trans. Medical Imaging, 2022

Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans.
CoRR, 2022

Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

2020
Soft Tissue Sarcoma Co-segmentation in Combined MRI and PET/CT Data.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020

Domain Aware Medical Image Classifier Interpretation by Counterfactual Impact Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Deep Sequential Segmentation of Organs in Volumetric Medical Scans.
IEEE Trans. Medical Imaging, 2019

2018
Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs.
IEEE Trans. Medical Imaging, 2018

2017
Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs.
CoRR, 2017


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