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Attention-based Deep Multiple Instance Learning

Attention-based Deep Multiple Instance Learning

13 February 2018
Maximilian Ilse
Jakub M. Tomczak
Max Welling
ArXivPDFHTML

Papers citing "Attention-based Deep Multiple Instance Learning"

50 / 760 papers shown
Title
Mapping the landscape of histomorphological cancer phenotypes using
  self-supervised learning on unlabeled, unannotated pathology slides
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
A. Quiros
N. Coudray
A. Yeaton
Xinyu Yang
Bojing Liu
...
H. Pass
A. Moreira
J. L. Quesne
A. Tsirigos
Ke-Fei Yuan
SSL
21
5
0
04 May 2022
A Multi-stage deep architecture for summary generation of soccer videos
A Multi-stage deep architecture for summary generation of soccer videos
Melissa Sanabria
F. Precioso
Pierre-Alexandre Mattei
Thomas Menguy
28
6
0
02 May 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide
  Images
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Kevin Thandiackal
Boqi Chen
Pushpak Pati
Guillaume Jaume
Drew F. K. Williamson
M. Gabrani
O. Goksel
22
43
0
26 Apr 2022
Encoding Cardiopulmonary Exercise Testing Time Series as Images for
  Classification using Convolutional Neural Network
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
Yash Sharma
Nick Coronato
Donald E. Brown
8
9
0
26 Apr 2022
A survey on attention mechanisms for medical applications: are we moving
  towards better algorithms?
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
Tiago Gonçalves
Isabel Rio-Torto
Luís F. Teixeira
J. S. Cardoso
OOD
MedIm
37
36
0
26 Apr 2022
Contrastive learning-based computational histopathology predict
  differential expression of cancer driver genes
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes
Haojue Huang
G. Zhou
Xuejun Liu
L. Deng
Chengju Wu
Dachuan Zhang
Hui Liu
MedIm
41
14
0
25 Apr 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level
  Prediction
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin
Hongteng Xu
Canqian Yang
Yi Xu
27
24
0
20 Apr 2022
Consistency driven Sequential Transformers Attention Model for Partially
  Observable Scenes
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
Samrudhdhi B. Rangrej
C. Srinidhi
J. Clark
21
12
0
01 Apr 2022
Investigating Modality Bias in Audio Visual Video Parsing
Investigating Modality Bias in Audio Visual Video Parsing
Piyush Singh Pasi
Shubham Nemani
P. Jyothi
Ganesh Ramakrishnan
13
4
0
31 Mar 2022
CD-Net: Histopathology Representation Learning using Pyramidal
  Context-Detail Network
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network
S. Kapse
Srijan Das
Prateek Prasanna
36
5
0
28 Mar 2022
Using Multiple Instance Learning for Explainable Solar Flare Prediction
Using Multiple Instance Learning for Explainable Solar Flare Prediction
C. Huwyler
M. Melchior
19
3
0
25 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching
Addressing Missing Sources with Adversarial Support-Matching
T. Kehrenberg
Myles Bartlett
V. Sharmanska
Novi Quadrianto
13
1
0
24 Mar 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly
  Detection
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
Hitesh Sapkota
Qi Yu
16
39
0
24 Mar 2022
Learning from Label Proportions with Instance-wise Consistency
Learning from Label Proportions with Instance-wise Consistency
Ryoma Kobayashi
Yusuke Mukuta
Tatsuya Harada
31
2
0
24 Mar 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
16
4
0
23 Mar 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning
  for Histopathology Whole Slide Image Classification
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang
Y. Meng
Yitian Zhao
Yihong Qiao
Xiaoyun Yang
Sarah E Coupland
Yalin Zheng
39
277
0
22 Mar 2022
Localizing Visual Sounds the Easy Way
Localizing Visual Sounds the Easy Way
Shentong Mo
Pedro Morgado
29
78
0
17 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
MedIm
33
19
0
15 Mar 2022
Breast Cancer Molecular Subtypes Prediction on Pathological Images with
  Discriminative Patch Selecting and Multi-Instance Learning
Breast Cancer Molecular Subtypes Prediction on Pathological Images with Discriminative Patch Selecting and Multi-Instance Learning
Hong Liu
Wendong Xu
Ziwei Shang
Xiang-Dong Wang
H. Zhou
...
L. Tan
Huiru Zeng
Huilong Cai
Kuansong Wang
Yuejing Qian
17
5
0
15 Mar 2022
Metastatic Cancer Outcome Prediction with Injective Multiple Instance
  Pooling
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling
Jianan Chen
Anne L. Martel
30
2
0
09 Mar 2022
End-to-end Multiple Instance Learning with Gradient Accumulation
End-to-end Multiple Instance Learning with Gradient Accumulation
Axel Andersson
N. Koriakina
Natavsa Sladoje
Joakim Lindblad
24
6
0
08 Mar 2022
A multi-stream convolutional neural network for classification of
  progressive MCI in Alzheimer's disease using structural MRI images
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images
Mona Ashtari-Majlan
Abbas Seifi
Mohammad Mahdi Dehshibi
21
46
0
03 Mar 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
18
23
0
03 Mar 2022
Self-Supervised Vision Transformers Learn Visual Concepts in
  Histopathology
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Richard J. Chen
Rahul G. Krishnan
MedIm
ViT
32
84
0
01 Mar 2022
Multi-Instance Causal Representation Learning for Instance Label
  Prediction and Out-of-Distribution Generalization
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang
Xuanhui Zhang
Hanwen Deng
Min-Ling Zhang
19
22
0
25 Feb 2022
Learning Transferable Reward for Query Object Localization with Policy
  Adaptation
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
35
1
0
24 Feb 2022
Weakly-supervised learning for image-based classification of primary
  melanomas into genomic immune subgroups
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Lucy Godson
Navid Alemi Koohbanani
J. Nsengimana
G. Cook
Emily L. Clarke
Darren Treanor
D. Bishop
J. Newton-Bishop
A. Gooya
24
1
0
23 Feb 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with
  NMF
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Florence dÁlché-Buc
G. Richard
24
22
0
23 Feb 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural
  Networks
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal
Antonios Valkanas
Florence Regol
Mark J. Coates
SSL
35
16
0
22 Feb 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for
  Transformer-Based Histopathological Image Classification
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller
Behzad Bozorgtabar
A. Spahr
Jean-Philippe Thiran
ViT
MedIm
35
42
0
15 Feb 2022
Handcrafted Histological Transformer (H2T): Unsupervised Representation
  of Whole Slide Images
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images
Q. Vu
K. Rajpoot
S. Raza
Nasir M. Rajpoot
ViT
MedIm
25
33
0
14 Feb 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep
  Anchor Attention Learning with Vision Transformer
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
Xuan Xu
Prateek Prasanna
ViT
MedIm
27
7
0
03 Feb 2022
Oral cancer detection and interpretation: Deep multiple instance
  learning versus conventional deep single instance learning
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
N. Koriakina
Natavsa Sladoje
Vladimir Bavsić
Joakim Lindblad
14
4
0
03 Feb 2022
Keyword localisation in untranscribed speech using visually grounded
  speech models
Keyword localisation in untranscribed speech using visually grounded speech models
Kayode Olaleye
Dan Oneaţă
Herman Kamper
32
7
0
02 Feb 2022
Model Agnostic Interpretability for Multiple Instance Learning
Model Agnostic Interpretability for Multiple Instance Learning
Joseph Early
C. Evers
Sarvapali Ramchurn
15
11
0
27 Jan 2022
Revisiting Global Pooling through the Lens of Optimal Transport
Revisiting Global Pooling through the Lens of Optimal Transport
Minjie Cheng
Hongteng Xu
22
0
0
23 Jan 2022
On the in vivo recognition of kidney stones using machine learning
On the in vivo recognition of kidney stones using machine learning
F. Lopez-Tiro
V. Estrade
Jacques Hubert
Daniel Flores-Araiza
M. González-Mendoza
Gilberto Ochoa
C. Daul
32
28
0
21 Jan 2022
Negative Evidence Matters in Interpretable Histology Image
  Classification
Negative Evidence Matters in Interpretable Histology Image Classification
Soufiane Belharbi
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
23
11
0
07 Jan 2022
Interpretable and Interactive Deep Multiple Instance Learning for Dental
  Caries Classification in Bitewing X-rays
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays
Benjamin Bergner
Csaba Rohrer
Aiham Taleb
Martha Duchrau
Guilherme De Leon
J. A. Rodrigues
F. Schwendicke
J. Krois
C. Lippert
33
1
0
17 Dec 2021
Multiple Instance Learning for Brain Tumor Detection from Magnetic
  Resonance Spectroscopy Data
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data
D. Lu
G. Kurz
N. Polomac
Iskra Gacheva
E. Hattingen
Jochen Triesch
18
0
0
16 Dec 2021
Deciphering antibody affinity maturation with language models and weakly
  supervised learning
Deciphering antibody affinity maturation with language models and weakly supervised learning
Jeffrey A. Ruffolo
Jeffrey J. Gray
Jeremias Sulam
12
130
0
14 Dec 2021
Multi-Attention Multiple Instance Learning
Multi-Attention Multiple Instance Learning
A. Konstantinov
Lev V. Utkin
28
13
0
11 Dec 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using
  Multi-Center CT Images
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
Qinghao Ye
Yuan Gao
Weiping Ding
Z. Niu
Chengjia Wang
...
Minhao Wang
E. Fang
Wade Menpes-Smith
Jun Xia
Guang Yang
OOD
34
33
0
09 Dec 2021
Hybrid guiding: A multi-resolution refinement approach for semantic
  segmentation of gigapixel histopathological images
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images
André Pedersen
Erik Smistad
T. V. Rise
V. G. Dale
H. S. Pettersen
T. Nordmo
D. Bouget
Ingerid Reinertsen
Marit Valla
27
3
0
07 Dec 2021
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using
  Deep Learning on Primary Tumor Biopsy Slides
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
Feng Xu
Chuang Zhu
Wenqi Tang
Ying Wang
Yu Zhang
Jie Li
Hongchuan Jiang
Z. Shi
Jun Liu
M. Jin
10
45
0
04 Dec 2021
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video
  Retrieval
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
Fan Hu
Aozhu Chen
Ziyu Wang
Fangming Zhou
Jianfeng Dong
Xirong Li
22
30
0
03 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from
  H&E Images Combining Self-Attention Multiple Instance Learning with a
  Recurrent Neural Network
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
Esther Dietrich
Patrick Fuhlert
Anne Ernst
G. Sauter
M. Lennartz
H. Stiehl
Marina Zimmermann
Stefan Bonn
28
4
0
26 Nov 2021
Deep Probability Estimation
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCV
OOD
28
14
0
21 Nov 2021
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific
  Document Similarity
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
Sheshera Mysore
Arman Cohan
Tom Hope
11
39
0
16 Nov 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
Samrudhdhi B. Rangrej
James J. Clark
24
12
0
15 Nov 2021
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