Sdamirsa
🔬Postdoc exploring AI to revolutionize patient care (without breaking the bank) 👨🦯Teaching docs AI and nerds medicine: the amnesiac's guide to healthy AI
Research Institute for Gastroenterology and Liver Diseases
Pinned Repositories
Exminer
creating MCQs from your PDFs by leveraging LLMs.
AI-in-Med-Trend
Trend of AI in Medicine and GI
Exminer
creating MCQs from your PDFs by leveraging LLMs.
extract_telegram_contact_to_csv
This repo is created for other people looking to convert their telegram exported contacts to CSV (so they can import in in google account or elsewhere)
HappyTreeResearchFriends
Here I will store some learning contents, learning pathways, and opportunities so that I can re-use them. Happy Tree Research Friends is a group that I started three years ago with my mentee and friends.
IBD-ICD
IBD-ICD (Inflammatory Bowel Disease Imaging and Clinical Data) is a curated repository containing medical images and associated clinical datasets for research and analysis in the field of IBD.
PanCanAID
Pancreas Cancer AI-Driven Diagnosis in CT scan and EUS Imaging: A protocol for an Observational Multicentric Ambispective Study
Parsbench-Med-Eng
MedQA-but-better-yield (MedQA-BBY) is build on top of MedQA dataset but enriched with labels, as well as two correct options and one negative point option, and three 0 point options. The labels include:(1) question topic regarding system, discipline, and subspeciality, (2) token length, (3) Bloom taxonomy
Sdamirsa
This is me
Tehran_COVID_Cohort
Code for data extraction and analysis of a COVID project with 10,000 participants (COVID-19 inpatients)
Sdamirsa's Repositories
Sdamirsa/HappyTreeResearchFriends
Here I will store some learning contents, learning pathways, and opportunities so that I can re-use them. Happy Tree Research Friends is a group that I started three years ago with my mentee and friends.
Sdamirsa/Parsbench-Med-Eng
MedQA-but-better-yield (MedQA-BBY) is build on top of MedQA dataset but enriched with labels, as well as two correct options and one negative point option, and three 0 point options. The labels include:(1) question topic regarding system, discipline, and subspeciality, (2) token length, (3) Bloom taxonomy
Sdamirsa/extract_telegram_contact_to_csv
This repo is created for other people looking to convert their telegram exported contacts to CSV (so they can import in in google account or elsewhere)
Sdamirsa/AI-in-Med-Trend
Trend of AI in Medicine and GI
Sdamirsa/Exminer
creating MCQs from your PDFs by leveraging LLMs.
Sdamirsa/ParsBench-biomedical
This repository contains multiple-choice questions and real-world scenarios for benchmarking large language models in Persian (Farsi) and English. The content is designed to evaluate the performance and capabilities of various language models across these two languages.
Sdamirsa/IBD-ICD
IBD-ICD (Inflammatory Bowel Disease Imaging and Clinical Data) is a curated repository containing medical images and associated clinical datasets for research and analysis in the field of IBD.
Sdamirsa/LLM-as-a-judge
LLM as a judge (developed by Nariman Naderi)
Sdamirsa/PanCanAID
Pancreas Cancer AI-Driven Diagnosis in CT scan and EUS Imaging: A protocol for an Observational Multicentric Ambispective Study
Sdamirsa/Tehran_COVID_Cohort
Code for data extraction and analysis of a COVID project with 10,000 participants (COVID-19 inpatients)
Sdamirsa/AI-and-Abdominal-CT-resources
Resources for people working on Artificial Intelligence (AI) and Machine Learning (ML) projects in computed tomography (CT) scan.
Sdamirsa/ehran_covid_Large-Language-Models-vs-Classical-Machine-learning
Sdamirsa/EXCT_v2
Extraction from clinical text (EXCT): update includes automated evaluation, parameter (prompt & temp) tuning, Pydantic structure slection, and Few-shot injection.
Sdamirsa/ezExperimenter
Generating code for LLM and VLM parallel runs (with or without structured JSON output)
Sdamirsa/GI-Copilot-v0.2
GI copilot is a multimodal RAG for answering to provide decision support to gastroenterologists.
Sdamirsa/LLM-VLM-in-Gastroenterology
Large Language Models (LLM), and Vision Language Models (VLM) performance in gastroenterology.
Sdamirsa/LLMs_in_GI
Papers, models, and datasets aiming at evaluation of Large Language Models (LLM) in gastroenterology
Sdamirsa/MedLSAM
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
Sdamirsa/Merge-guideline-LLM-tool-Public
Merge-guideline-LLM-tool-Public
Sdamirsa/My_Full_stack_development_path
Sdamirsa/My_Saved_Codes
My saved codes
Sdamirsa/no-code-app-for-GPT-research
No code streamlit app for running GPT models on excel file (and ground truth). This could be used for (1) generating unstructured output, or (2) structured output (for extraction or generating variables).
Sdamirsa/PanCanAID-SAM-Home
PanCanAID SAM Home
Sdamirsa/PanCanAID-tools
The tools for managing PanCanAID project
Sdamirsa/PEPML
Sdamirsa/Sinopharm_C19_Response_HemodyalsisPatients
Sinopharm Vaccine Respone in Hemodyalisis Patients.
Sdamirsa/Stapp_in_colonochartreview_v1.0_stable
Stapp_in_colonochartreview_v1.0_stable
Sdamirsa/Tehran_COVID_Cohort_LLMExperiment
Sdamirsa/TiLense-4BlackBox-VLM
TiLense-4BlackBox-VLM is a tool designed to visualize and interpret the inner workings of vision-language models (VLMs). By generating heatmaps that highlight important image regions (tiles) based on model prediction behavior.
Sdamirsa/XNAT-OHIF_read-overlay-visualize-segmentation-file
This repo is a easy-to-use code which will read the segmentation file (.dcm) created by OHIF or XNAT, and overlay this with corresponding slice of corresponding series. Hope you can enjoy it.