Search Results for author: Taha Kass-Hout

Found 9 papers, 1 papers with code

Deep Linear Hawkes Processes

no code implementations27 Dec 2024 Yuxin Chang, Alex Boyd, Cao Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

Marked temporal point processes (MTPPs) are used to model sequences of different types of events with irregular arrival times, with broad applications ranging from healthcare and social networks to finance.

Point Processes State Space Models

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

1 code implementation6 Oct 2024 Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

KARE constructs a comprehensive multi-source KG by integrating biomedical databases, clinical literature, and LLM-generated insights, and organizes it using hierarchical graph community detection and summarization for precise and contextually relevant information retrieval.

Community Detection Information Retrieval +2

Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images

no code implementations2 Oct 2024 Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha Kass-Hout, Hua Wei, Cao Xiao

Medical imaging is crucial for diagnosing a patient's health condition, and accurate segmentation of these images is essential for isolating regions of interest to ensure precise diagnosis and treatment planning.

Anatomy Image Segmentation +5

One-shot Localization and Segmentation of Medical Images with Foundation Models

no code implementations28 Oct 2023 Deepa Anand, Gurunath Reddy M, Vanika Singhal, Dattesh D. Shanbhag, Shriram KS, Uday Patil, Chitresh Bhushan, Kavitha Manickam, Dawei Gui, Rakesh Mullick, Avinash Gopal, Parminder Bhatia, Taha Kass-Hout

Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image correspondence tasks on natural images.

Segmentation Semantic Segmentation

Improving Early Sepsis Prediction with Multi Modal Learning

no code implementations23 Jul 2021 Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha Kass-Hout

Clinical text provides essential information to estimate the severity of the sepsis in addition to structured clinical data.

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