Card: authors byline under title; fix unrendered inline math

README.md

@@ -17,6 +17,8 @@ language:
 ---
 # Model Card for DALE-CT-2S
 
+**Authors:** [Evan W. Damron](https://huggingface.co/evn13) · Mahmut S. Gokmen · Mitchell A. Klusty · Caroline N. Leach · Emily B. Collier · V. K. Cody Bumgardner — Institute for Biomedical Informatics Center for Applied AI (IBI-CAAI), University of Kentucky
+
 This repository hosts the backbone weights for DALE-CT-2S (Depth-Aware Latent-Euclidean Computed Tomography), a foundational Vision Transformer (ViT-Large) trained on Chest CT scans using the strictly non-predictive Latent-Euclidean Joint-Embedding Predictive Architecture ([LeJEPA](https://github.com/galilai-group/lejepa)) framework. 
 
 This **2S** model improves upon the 1S variant by introducing a native 512px architecture, a refined patch size (16), and a more sophisticated dual-source (2S) dense auxiliary supervision objective that balances macroscopic and fine-grained pathology tracking using both TotalSegmentator and ReXGroundingCT targets.
@@ -40,9 +42,8 @@ Inputs must be Hounsfield-Unit slices preprocessed exactly as during training
 
 All numbers are our own head-to-head measurements: every model (including the
 public 3D baselines in the paper) is probed under one linear-probing MIL
-protocol on shared splits (CT-RATE $n_{test}=992$; RAD-ChestCT
-$n_{test}=360$). See the paper for the full protocol and confidence
-intervals.
+protocol on shared splits (CT-RATE n = 992 test scans; RAD-ChestCT n = 360).
+See the paper for the full protocol and confidence intervals.
 
 | Model | CT-RATE Macro AUROC | RAD-ChestCT AUROC (frozen / retrained probe) | Role |
 |---|---|---|---|
@@ -54,8 +55,6 @@ intervals.
 
 **Paper:** [DALE-CT: Depth-Aware Foundation Models for Computed Tomography](https://arxiv.org/abs/2606.07775) · **Code:** [Kentucky-Open-Science/DALE-CT](https://github.com/Kentucky-Open-Science/DALE-CT)
 
-**Model authors:** [Evan W. Damron](https://huggingface.co/evn13) · Mahmut S. Gokmen · Mitchell A. Klusty · Caroline N. Leach · Emily B. Collier · V. K. Cody Bumgardner — Institute for Biomedical Informatics Center for Applied AI (IBI-CAAI), University of Kentucky
-
 ## Model Details
 * **Model Type:** Vision Transformer (ViT-Large) for Chest CT analysis.
 * **Developed by:** Institute for Biomedical Informatics Center for Applied AI (IBI-CAAI)