Add papers

README.md

@@ -3,8 +3,7 @@ DiffPose
 
 <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
 
-> Patient-specific intraoperative 2D/3D registration via differentiable
-> rendering
+> Intraoperative 2D/3D registration via differentiable X-ray rendering
 
 [![CI](https://github.com/eigenvivek/DiffPose/actions/workflows/test.yaml/badge.svg)](https://github.com/eigenvivek/DiffPose/actions/workflows/test.yaml)
 [![License:
@@ -114,3 +113,19 @@ nbdev_export   # builds package and builds docs
 
 For more details, follow this [in-depth
 tutorial](https://nbdev.fast.ai/tutorials/tutorial.html).
+
+## Citing `DiffPose`
+
+If you find `DiffPose` or
+[`DiffDRR`](https://github.com/eigenvivek/DiffDRR) useful in your work,
+please cite the appropriate papers:
+
+    @inproceedings{gopalakrishnanDiffDRR2022,
+        author    = {Gopalakrishnan, Vivek and Golland, Polina},
+        title     = {Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging},
+        year      = {2022},
+        booktitle = {Clinical Image-based Procedures: 11th International Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, Proceedings},
+        series    = {Lecture Notes in Computer Science},
+        publisher = {Springer},
+        doi       = {https://doi.org/10.1007/978-3-031-23179-7_1},
+    }

notebooks/index.ipynb

@@ -13,7 +13,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "> Patient-specific intraoperative 2D/3D registration via differentiable rendering\n",
+    "> Intraoperative 2D/3D registration via differentiable X-ray rendering\n",
     "\n",
     "[![CI](https://github.com/eigenvivek/DiffPose/actions/workflows/test.yaml/badge.svg)](https://github.com/eigenvivek/DiffPose/actions/workflows/test.yaml)\n",
     "[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)\n",
@@ -123,6 +123,27 @@
     "For more details, follow this [in-depth tutorial](https://nbdev.fast.ai/tutorials/tutorial.html)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Citing `DiffPose`\n",
+    "\n",
+    "If you find `DiffPose` or [`DiffDRR`](https://github.com/eigenvivek/DiffDRR) useful in your work, please cite the appropriate papers:\n",
+    "\n",
+    "```\n",
+    "@inproceedings{gopalakrishnanDiffDRR2022,\n",
+    "    author    = {Gopalakrishnan, Vivek and Golland, Polina},\n",
+    "    title     = {Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging},\n",
+    "    year      = {2022},\n",
+    "    booktitle = {Clinical Image-based Procedures: 11th International Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, Proceedings},\n",
+    "    series    = {Lecture Notes in Computer Science},\n",
+    "    publisher = {Springer},\n",
+    "    doi       = {https://doi.org/10.1007/978-3-031-23179-7_1},\n",
+    "}\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,