ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.11195
  4. Cited By
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics

OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics

22 September 2022
Mohit Prabhushankar
Kiran Kokilepersaud
Yash-yee Logan
Stephanie Trejo Corona
Ghassan AlRegib
C. Wykoff
ArXivPDFHTML

Papers citing "OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics"

9 / 9 papers shown
Title
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
Jorge Quesada
Chen Zhou
Prithwijit Chowdhury
Mohammad Alotaibi
Ahmad Mustafa
Yusufjon Kumamnov
Mohit Prabhushankar
Ghassan AlRegib
AI4CE
39
0
0
13 May 2025
Hierarchical and Multimodal Data for Daily Activity Understanding
Hierarchical and Multimodal Data for Daily Activity Understanding
Ghazal Kaviani
Yavuz Yarici
Seulgi Kim
Mohit Prabhushankar
Ghassan AlRegib
Mashhour Solh
Ameya Patil
54
0
0
24 Apr 2025
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
Kankana Roy
Lars Krämer
Sebastian Domaschke
Malik Haris
Roland Aydin
Fabian Isensee
Martin Held
48
0
0
13 Jan 2025
Transformer-based end-to-end classification of variable-length
  volumetric data
Transformer-based end-to-end classification of variable-length volumetric data
Marzieh Oghbaie
Teresa Araújo
T. Emre
U. Schmidt-Erfurth
Hrvoje Bogunović
ViT
MedIm
19
4
0
13 Jul 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
10
3
0
11 Feb 2023
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
175
685
0
10 Oct 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,707
0
18 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
261
36,371
0
25 Aug 2016
1