Extracting Explainable Dates From Medical Images By Reverse-Engineering UNIX Timestamps
Fuente:
arXiv
Saved in:
| Main Author: | Harris, Lee |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications
by: Awuklu, Yvon K., et al.
Published: (2026)
by: Awuklu, Yvon K., et al.
Published: (2026)
Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents
by: Harris, Lee
Published: (2025)
by: Harris, Lee
Published: (2025)
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)
by: Wu, Beiliang, et al.
Published: (2025)
Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues
by: Choi, Dayun, et al.
Published: (2024)
by: Choi, Dayun, et al.
Published: (2024)
Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
by: Erukude, Sai Teja, et al.
Published: (2025)
by: Erukude, Sai Teja, et al.
Published: (2025)
LVSum: A Benchmark for Timestamp-Aware Long Video Summarization
by: Patel, Alkesh, et al.
Published: (2026)
by: Patel, Alkesh, et al.
Published: (2026)
Position Paper: Integrating Explainability and Uncertainty Estimation in Medical AI
by: Fan, Xiuyi
Published: (2025)
by: Fan, Xiuyi
Published: (2025)
Explainable Knowledge Distillation for Efficient Medical Image Classification
by: Mir, Aqib Nazir, et al.
Published: (2025)
by: Mir, Aqib Nazir, et al.
Published: (2025)
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
by: Zhang, Wenbo, et al.
Published: (2024)
by: Zhang, Wenbo, et al.
Published: (2024)
Balancing Natural Language Processing Accuracy and Normalisation in Extracting Medical Insights
by: Tworek, Paulina, et al.
Published: (2025)
by: Tworek, Paulina, et al.
Published: (2025)
Reverse-Engineering the Reader
by: Kiegeland, Samuel, et al.
Published: (2024)
by: Kiegeland, Samuel, et al.
Published: (2024)
From Robustness to Explainability and Back Again
by: Huang, Xuanxiang, et al.
Published: (2023)
by: Huang, Xuanxiang, et al.
Published: (2023)
TAR-TVG: Enhancing VLMs with Timestamp Anchor-Constrained Reasoning for Temporal Video Grounding
by: Guo, Chaohong, et al.
Published: (2025)
by: Guo, Chaohong, et al.
Published: (2025)
Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population)
by: Qin, Xinyu, et al.
Published: (2025)
by: Qin, Xinyu, et al.
Published: (2025)
Identifying and Extracting Rare Disease Phenotypes with Large Language Models
by: Shyr, Cathy, et al.
Published: (2023)
by: Shyr, Cathy, et al.
Published: (2023)
Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
by: Haidar, Salma, et al.
Published: (2025)
by: Haidar, Salma, et al.
Published: (2025)
EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
by: Zhao, Shuguang, et al.
Published: (2025)
by: Zhao, Shuguang, et al.
Published: (2025)
MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction
by: Wang, Jing, et al.
Published: (2025)
by: Wang, Jing, et al.
Published: (2025)
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation
by: Chen, Wenting, et al.
Published: (2023)
by: Chen, Wenting, et al.
Published: (2023)
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
by: Müller-Franzes, Gustav, et al.
Published: (2024)
by: Müller-Franzes, Gustav, et al.
Published: (2024)
Symphony for Medical Coding: A Next-Generation Agentic System for Scalable and Explainable Medical Coding
by: Edin, Joakim, et al.
Published: (2026)
by: Edin, Joakim, et al.
Published: (2026)
A Comparative Study on Automatic Coding of Medical Letters with Explainability
by: Glen, Jamie, et al.
Published: (2024)
by: Glen, Jamie, et al.
Published: (2024)
Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis
by: Uddin, Ifrat Ikhtear, et al.
Published: (2025)
by: Uddin, Ifrat Ikhtear, et al.
Published: (2025)
Learning to Select Like Humans: Explainable Active Learning for Medical Imaging
by: Uddin, Ifrat Ikhtear, et al.
Published: (2026)
by: Uddin, Ifrat Ikhtear, et al.
Published: (2026)
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
by: Li, Chenjun, et al.
Published: (2025)
by: Li, Chenjun, et al.
Published: (2025)
Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
by: Elangovan, Kabilan, et al.
Published: (2026)
by: Elangovan, Kabilan, et al.
Published: (2026)
CrackMeBench: Binary Reverse Engineering for Agents
by: David, Isaac, et al.
Published: (2026)
by: David, Isaac, et al.
Published: (2026)
Automatically Attacking Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)
by: Crawford, Brian, et al.
Published: (2026)
Reversing the Lens: Using Explainable AI to Understand Human Expertise
by: Rahman, Roussel, et al.
Published: (2025)
by: Rahman, Roussel, et al.
Published: (2025)
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls
by: Bai, Xiaoyan, et al.
Published: (2025)
by: Bai, Xiaoyan, et al.
Published: (2025)
MRNet: Multifaceted Resilient Networks for Medical Image-to-Image Translation
by: Lee, Hyojeong, et al.
Published: (2024)
by: Lee, Hyojeong, et al.
Published: (2024)
From Features to Actions: Explainability in Traditional and Agentic AI Systems
by: Chaduvula, Sindhuja, et al.
Published: (2026)
by: Chaduvula, Sindhuja, et al.
Published: (2026)
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
by: Vladika, Juraj, et al.
Published: (2025)
by: Vladika, Juraj, et al.
Published: (2025)
Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
by: Li, Jingyue, et al.
Published: (2026)
by: Li, Jingyue, et al.
Published: (2026)
A User-Centric Analysis of Explainability in AI-Based Medical Image Diagnosis
by: Wagner, Julia, et al.
Published: (2026)
by: Wagner, Julia, et al.
Published: (2026)
Reverse-Engineering Model Editing on Language Models
by: Sun, Zhiyu, et al.
Published: (2026)
by: Sun, Zhiyu, et al.
Published: (2026)
Data Augmentation Techniques to Reverse-Engineer Neural Network Weights from Input-Output Queries
by: Beiser, Alexander, et al.
Published: (2025)
by: Beiser, Alexander, et al.
Published: (2025)
AutoML Systems For Medical Imaging
by: Jidney, Tasmia Tahmida, et al.
Published: (2023)
by: Jidney, Tasmia Tahmida, et al.
Published: (2023)
MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification
by: Wang, Chunjiang, et al.
Published: (2025)
by: Wang, Chunjiang, et al.
Published: (2025)
Similar Items
-
Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications
by: Awuklu, Yvon K., et al.
Published: (2026) -
Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents
by: Harris, Lee
Published: (2025) -
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025) -
Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues
by: Choi, Dayun, et al.
Published: (2024) -
Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
by: Erukude, Sai Teja, et al.
Published: (2025)