Publication Plan
Here is my plan for publishing research papers from November 2025 to September 2026. I will target a mix of computer vision, medical informatics, and machine learning venues to reach different audiences.
Planned Papers
| Title | Venue | Status | Deadline |
|---|---|---|---|
| Cheap Robustness for Medical VLMs: Projector-only LoRA cuts paraphrase flips on MIMIC-CXR | CVPR 2026 | Planned | Nov 13, 2025 |
| PEFT over Frozen Backbones for Radiology VQA: Robustness and calibration on MIMIC-CXR | MIDL 2026 | Planned | Dec 5, 2025 |
| From LoRA to lower risk: calibrating VLMs for chest X-ray triage | AMIA 2026 Informatics Summit | Planned | Dec 2, 2025 |
| Measuring paraphrase flip rate in radiology VQA | ISBI 2026 (1-page abstract) | Planned | Jan 13, 2026 |
| Paraphrase-Consistent Fine-Tuning: A simple loss that stabilizes VLMs without full retraining | ICML 2026 | Planned | Late Jan/Feb 2026 |
| Human-in-the-loop robustness: single-radiologist audit for VLM safety on MIMIC-CXR | MICCAI 2026 | Planned | Late Feb/Mar 2026 |
| Robust VLMs via projector-centric PEFT: analysis across paraphrase families | ECCV 2026 | Planned | March 2026 |
| ROBORAD: A reproducible benchmark for paraphrase robustness in radiology VLMs | NeurIPS 2026 | Planned | Mid-May 2026 |
| Clinically aware robustness for chest X-ray VQA with single-expert audits | CHIL 2026 | Planned | Spring 2026 |
Publication Strategy
Early Papers (Nov 2025 - Jan 2026)
The first three papers focus on establishing the problem and showing initial solutions:
- CVPR 2026: Focuses on computer vision community, shows that projector-only LoRA can reduce paraphrase sensitivity
- MIDL 2026: Medical imaging venue, covers robustness and calibration aspects
- AMIA 2026: Medical informatics audience, emphasizes clinical triage applications
Core Methodology Papers (Feb - May 2026)
Mid-timeline papers dive deeper into methods:
- ICML 2026: Machine learning community, presents the paraphrase-consistent loss function
- MICCAI 2026: Medical imaging, includes human expert validation
- ECCV 2026: Computer vision, analyzes different paraphrase families
Benchmark and Evaluation Papers (Spring - Fall 2026)
Later papers focus on reproducibility and comprehensive evaluation:
- NeurIPS 2026: Premier ML venue for the benchmark dataset release
- CHIL 2026: Healthcare informatics, clinical validation aspects
Target Impact
This publication plan aims to:
- Establish the problem early in top-tier venues
- Present solutions across different communities
- Enable reproducibility through benchmark and code releases
- Validate clinical relevance through expert studies
The mix of venues ensures the work reaches computer vision researchers, medical imaging specialists, machine learning practitioners, and clinical informaticists - all stakeholder communities for medical AI safety.
Timeline Considerations
The deadlines are aggressive but achievable given the overlapping research phases. Early papers will be based on initial experiments and proof-of-concept results. Later papers will have more comprehensive evaluations and human studies.
All planned papers will contribute to the dissertation while serving different audiences and highlighting different aspects of the robustness problem and solutions.