David Major

Orcid: 0000-0002-6108-9745

According to our database1, David Major authored at least 24 papers between 2011 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

Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations.
Proceedings of the Shape in Medical Imaging - International Workshop, 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

Approaches to Code Selection for Epistemic Networks.
Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 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

Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images.
Int. J. Comput. Assist. Radiol. Surg., 2018

2017
Automated Anatomy-Based Tracking of Systemic Arteries in Arbitrary Field-of-View CTA Scans.
IEEE Trans. Medical Imaging, 2017

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

2016
Local entropy-optimized texture models for semi-automatic spine labeling in various MRI protocols.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
A Two-Level Cascade Classification Algorithm for Real-Time Bifurcation Detection in CTA Images of Blood Vessels.
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2015

Automated Slice-Based Artery Identification in Various Field-of-View CTA Scans.
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2015

2014
Erratum to "Automated landmarking and labeling of fully and partially scanned spinal columns in CT images" [Med. Image Anal. 17(2013) 1151-1163].
Medical Image Anal., 2014

2013
Automated landmarking and labeling of fully and partially scanned spinal columns in CT images.
Medical Image Anal., 2013

2011
Fast and Memory Efficient Feature Detection using Multiresolution Probabilistic Boosting Trees.
J. WSCG, 2011


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