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. 2303.14080
  4. Cited By
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and
  Imaging Data

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data

24 March 2023
Paul Hager
M. Menten
Daniel Rueckert
ArXivPDFHTML

Papers citing "Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data"

35 / 35 papers shown
Title
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Yundi Zhang
Paul Hager
Che Liu
Suprosanna Shit
C. L. P. Chen
Daniel Rueckert
Jiazhen Pan
33
0
0
17 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
35
0
0
17 Apr 2025
Evolutionary algorithms meet self-supervised learning: a comprehensive survey
Evolutionary algorithms meet self-supervised learning: a comprehensive survey
Adriano Vinhas
João Correia
Penousal Machado
SSL
SyDa
56
0
0
09 Apr 2025
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations
Marta Hasny
Maxime Di Folco
Keno Bressem
Julia A. Schnabel
33
0
0
19 Mar 2025
Multi-modal Time Series Analysis: A Tutorial and Survey
Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang
Kanghui Ning
Zijie Pan
Xuyang Shen
Jingchao Ni
Wenchao Yu
Anderson Schneider
Haifeng Chen
Yuriy Nevmyvaka
Dongjin Song
AI4TS
60
0
0
17 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
62
0
0
08 Mar 2025
Contrastive Federated Learning with Tabular Data Silos
Contrastive Federated Learning with Tabular Data Silos
Achmad Ginanjar
Xue Li
Wen Hua
Jiaming Pei
FedML
64
2
0
17 Feb 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
38
0
0
13 Jan 2025
Barttender: An approachable & interpretable way to compare medical
  imaging and non-imaging data
Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
Ayush Singla
Shakson Isaac
Chirag J. Patel
MedIm
54
0
0
19 Nov 2024
Enhancing Cardiovascular Disease Prediction through Multi-Modal
  Self-Supervised Learning
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
Francesco Girlanda
Olga Demler
Bjoern H. Menze
Neda Davoudi
23
0
0
08 Nov 2024
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with
  Missing Modalities
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities
Yejing Huo
Guoheng Huang
Lianglun Cheng
Jianbin He
Xuhang Chen
Xiaochen Yuan
Guo Zhong
Chi-Man Pun
11
1
0
24 Oct 2024
Scalable Representation Learning for Multimodal Tabular Transactions
Scalable Representation Learning for Multimodal Tabular Transactions
Natraj Raman
Sumitra Ganesh
Manuela Veloso
LMTD
19
0
0
10 Oct 2024
Multimodal Representation Learning using Adaptive Graph Construction
Multimodal Representation Learning using Adaptive Graph Construction
Weichen Huang
19
1
0
08 Oct 2024
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography
  Classification
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification
Xujun Li
Xin Wei
Jing Jiang
Danxiang Chen
Wei Zhang
Jinpeng Li
21
0
0
24 Sep 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation
  of Visual-knowledge-linguistic Features
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
Xin Wei
Yaling Tao
Changde Du
Gangming Zhao
Yizhou Yu
Jinpeng Li
23
0
0
24 Sep 2024
TIP: Tabular-Image Pre-training for Multimodal Classification with
  Incomplete Data
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du
Shaoming Zheng
Yinsong Wang
Wenjia Bai
D. O’Regan
Chen Qin
LMTD
23
3
0
10 Jul 2024
Interpretable Representation Learning of Cardiac MRI via Attribute
  Regularization
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
Maxime Di Folco
Cosmin I. Bercea
Emily Chan
Julia A. Schnabel
31
0
0
12 Jun 2024
Probabilistic Contrastive Learning with Explicit Concentration on the
  Hypersphere
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
H. Li
Ouyang Cheng
Tamaz Amiranashvili
Matthew S. Rosen
Bjoern H. Menze
J. Iglesias
22
0
0
26 May 2024
A review of deep learning-based information fusion techniques for
  multimodal medical image classification
A review of deep learning-based information fusion techniques for multimodal medical image classification
Yi-Hsuan Li
Mostafa EL HABIB DAHO
Pierre-Henri Conze
Rachid Zeghlache
Hugo Le Boité
R. Tadayoni
B. Cochener
M. Lamard
G. Quellec
17
2
0
23 Apr 2024
A Review of Modern Recommender Systems Using Generative Models
  (Gen-RecSys)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo
Zhankui He
Julian McAuley
A. Korikov
Scott Sanner
Arnau Ramisa
René Vidal
M. Sathiamoorthy
Atoosa Kasirzadeh
Silvia Milano
VLM
26
30
0
31 Mar 2024
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
Daniel Duenias
Brennan Nichyporuk
Tal Arbel
Tammy Riklin-Raviv
31
3
0
20 Mar 2024
MolBind: Multimodal Alignment of Language, Molecules, and Proteins
MolBind: Multimodal Alignment of Language, Molecules, and Proteins
Teng Xiao
Chao Cui
Huaisheng Zhu
V. Honavar
AI4CE
21
6
0
13 Mar 2024
TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
Tong Zheng
Shusaku Sone
Yoshitaka Ushiku
Yuki Oba
Jiaxin Ma
13
0
0
04 Mar 2024
Tree-Regularized Tabular Embeddings
Tree-Regularized Tabular Embeddings
Xuan Li
Yunhe Wang
Boqian Li
LMTD
25
3
0
01 Mar 2024
Fusing Echocardiography Images and Medical Records for Continuous
  Patient Stratification
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Nathan Painchaud
P. Courand
Pierre-Marc Jodoin
Nicolas Duchateau
Olivier Bernard
19
2
0
15 Jan 2024
Self-supervised learning of multi-omics embeddings in the low-label,
  high-data regime
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime
Christian John Hurry
Emma Slade
17
0
0
16 Nov 2023
Hierarchical Pretraining on Multimodal Electronic Health Records
Hierarchical Pretraining on Multimodal Electronic Health Records
Xiaochen Wang
Junyu Luo
Jiaqi Wang
Ziyi Yin
Suhan Cui
Yuan Zhong
Yaqing Wang
Fenglong Ma
21
5
0
11 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified
  Pre-training
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani
Parshin Shojaee
Chandan K. Reddy
A. Farimani
13
18
0
03 Oct 2023
RegBN: Batch Normalization of Multimodal Data with Regularization
RegBN: Batch Normalization of Multimodal Data with Regularization
Morteza Ghahremani
Christian Wachinger
25
6
0
01 Oct 2023
Multimodal Contrastive Learning and Tabular Attention for Automated
  Alzheimer's Disease Prediction
Multimodal Contrastive Learning and Tabular Attention for Automated Alzheimer's Disease Prediction
Weichen Huang
14
2
0
29 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label
  scarcity
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
11
1
0
31 Jul 2023
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
  Representations
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari
Yi Zhu
Peter V. Gehler
Thomas Brox
111
122
0
30 Sep 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIP
VLM
242
554
0
28 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
1