5 citations · 13 across the 8 of their papers we have counts for
8 papers
Deep Learning in Medical Image Registration: Magic or Mirage?
Rohit Jena, Deeksha Sethi, Pratik Chaudhari +1
Classical optimization and learning-based methods are the two reigning paradigms in deformable image registration. While optimization-based methods boast generalizability across mo…
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization
Yifan Wu, Mengjin Dong, Rohit Jena +2
Deformable image registration (DIR) is crucial in medical image analysis, enabling the exploration of biological dynamics such as organ motions and longitudinal changes in imaging.…
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
Yifan Wu, Yang Liu, Yue Yang +10
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification. The advent of machine learning of…
SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
Rohit Jena, Ganesh Subramanian Iyer, Siddharth Choudhary +3
We propose SplatArmor, a novel approach for recovering detailed and animatable human models by `armoring' a parameterized body model with 3D Gaussians. Our approach represents the…
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task
Yifan Wu, Pengchuan Zhang, Wenhan Xiong +3
The study explores the effectiveness of the Chain-of-Thought approach, known for its proficiency in language tasks by breaking them down into sub-tasks and intermediate steps, in i…
Memory Encoding Model
Huzheng Yang, James Gee, Jianbo Shi
We explore a new class of brain encoding model by adding memory-related information as input. Memory is an essential brain mechanism that works alongside visual stimuli. During a v…