Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

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Title
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department Farah E. Shamout Yiqiu Shen Nan Wu Aakash Kaku Jungkyu Park ... W. Moore Yvonne W. Lui Yindalon Aphinyanagphongs C. Fernandez‐Granda Krzysztof J. Geras 14 0 0 04 Aug 2020
Foveation for Segmentation of Ultra-High Resolution Images Chen Jin Ryutaro Tanno Moucheng Xu T. Mertzanidou Daniel C. Alexander AI4TS 14 4 0 29 Jul 2020
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders Ario Sadafi A. Makhro A. Bogdanova Nassir Navab Tingying Peng Shadi Albarqouni Carsten Marr 11 31 0 22 Jul 2020
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection Fa-Ting Hong Xuanteng Huang Weihong Li Weishi Zheng 8 61 0 20 Jul 2020
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter G. Klambauer 193 117 0 16 Jul 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp G. Klambauer Johannes Brandstetter Sepp Hochreiter 24 414 0 16 Jul 2020
Image Captioning with Compositional Neural Module Networks Junjiao Tian Jean Oh 11 11 0 10 Jul 2020
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 22 51 0 03 Jul 2020
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary Ming Y. Lu Melissa Zhao Maha Shady Jana Lipkova Tiffany Y. Chen Drew F. K. Williamson Faisal Mahmood MedIm 4 465 0 24 Jun 2020
Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists H. Gu Jingbin Huang Lauren Hung Xiang Ánthony' Chen 13 49 0 23 Jun 2020
Contrastive Learning for Weakly Supervised Phrase Grounding Tanmay Gupta Arash Vahdat Gal Chechik Xiaodong Yang Jan Kautz Derek Hoiem ObjD SSL 39 140 0 17 Jun 2020
Visualization for Histopathology Images using Graph Convolutional Neural Networks M. Sureka Abhijeet Patil Deepak Anand A. Sethi FAtt GNN MedIm 26 36 0 16 Jun 2020
Dual-stream Maximum Self-attention Multi-instance Learning Bin Li K. Eliceiri 6 6 0 09 Jun 2020
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels H. Pinckaers W. Bulten J. A. van der Laak G. Litjens MedIm 6 71 0 05 Jun 2020
Studying The Effect of MIL Pooling Filters on MIL Tasks Mustafa Umit Oner Jared Marc Song Kye-Jet H. Lee Wing-Kin Sung 9 5 0 02 Jun 2020
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling Wenwu Ye Jin Yao Hui Xue Yi Li WSOL 12 64 0 29 May 2020
Kernel Self-Attention in Deep Multiple Instance Learning Dawid Rymarczyk Adriana Borowa Jacek Tabor Bartosz Zieliñski SSL 14 5 0 25 May 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images Kelei He Wei-Ye Zhao Xingzhi Xie Wen Ji Mingxia Liu ... F. Shi Yang Gao Jun Liu Junfeng Zhang D. Shen 31 96 0 08 May 2020
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning Alexandros Papadopoulos Konstantinos A Kyritsis L. Klingelhoefer S. Bostantjopoulou K. Chaudhuri A. Delopoulos 6 52 0 06 May 2020
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation Dino Ienco Y. J. E. Gbodjo R. Interdonato R. Gaetano 26 2 0 30 Apr 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms Chandra K. Sarath A. Chakravarty N. Ghosh Tandra Sarkar Ramanathan Sethuraman Debdoot Sheet MedIm 11 11 0 24 Apr 2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Richard J. Chen Matteo Barbieri Faisal Mahmood 18 1,269 0 20 Apr 2020
Representation Learning of Histopathology Images using Graph Neural Networks Mohammed Adnan Shivam Kalra Hamid R. Tizhoosh OOD 16 97 0 16 Apr 2020
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning David Tellez D. Höppener Cornelis Verhoef D. Grünhagen Pieter M H Nierop M. Drozdzal Jeroen van der Laak F. Ciompi MedIm 28 31 0 15 Apr 2020
Weakly supervised multiple instance learning histopathological tumor segmentation Marvin Lerousseau Maria Vakalopoulou Marion Classe J. Adam Enzo Battistella Alexandre Carré Théo Estienne T. Henry Eric Deutsch Nikos Paragios 19 91 0 10 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels Xun Xu Gim Hee Lee 3DPC 19 93 0 08 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays Xin Li Chengyin Li D. Zhu 24 79 0 06 Apr 2020
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen Hsiang-Fu Yu Sujay Sanghavi Inderjit Dhillon 13 8 0 01 Apr 2020
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning Zhekun Luo Devin Guillory Baifeng Shi Wei Ke Fang Wan Trevor Darrell Huijuan Xu 11 119 0 31 Mar 2020
Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow A. Sokolovsky T. Gross J. Bacardit 7 1 0 30 Mar 2020
Compact Deep Aggregation for Set Retrieval Yujie Zhong Relja Arandjelović Andrew Zisserman CVBM 3DH 29 14 0 26 Mar 2020
AMIL: Adversarial Multi Instance Learning for Human Pose Estimation Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Jie Yang GAN 18 6 0 18 Mar 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 16 35 0 20 Feb 2020
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning Abhijeet Patil Dipesh Tamboli S. Meena Deepak Anand A. Sethi 9 23 0 16 Feb 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Yiqiu Shen Nan Wu Jason Phang Jungkyu Park Kangning Liu ... Laura Heacock S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 21 168 0 13 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images Noriaki Hashimoto D. Fukushima R. Koga Yusuke Takagi Kaho Ko K. Kohno Masato Nakaguro S. Nakamura H. Hontani Ichiro Takeuchi MedIm 11 181 0 06 Jan 2020
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data Guruprasad Nayak Rahul Ghosh X. Jia Varun Mithal Vipin Kumar 15 11 0 03 Jan 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 39 564 0 28 Dec 2019
Cross-scale Attention Model for Acoustic Event Classification Xugang Lu Peng Shen Sheng Li Yu Tsao Hisashi Kawai 4 2 0 27 Dec 2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo 24 52 0 18 Dec 2019
End-to-End Learning of Visual Representations from Uncurated Instructional Videos Antoine Miech Jean-Baptiste Alayrac Lucas Smaira Ivan Laptev Josef Sivic Andrew Zisserman VGen SSL 42 701 0 13 Dec 2019
A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units Adi Szeskin Lev Faivishevsky Ashwin K Muppalla Amitai Armon Tom Hope 14 0 0 09 Dec 2019
BERT for Large-scale Video Segment Classification with Test-time Augmentation Tianqi Liu Qizhan Shao 24 4 0 02 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions Ke Sun Frank Nielsen GAN 14 4 0 27 Nov 2019
A Proposal-based Approach for Activity Image-to-Video Retrieval Ruicong Xu Li Niu Jianfu Zhang Liqing Zhang 9 18 0 24 Nov 2019
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs Stefano Vincenzi Angelo Porrello Pietro Buzzega A. Conte C. Ippoliti L. Candeloro A. D. Lorenzo A. C. Dondona Simone Calderara 13 12 0 22 Nov 2019
Representation Learning with Multisets Vasco Portilheiro SSL 21 0 0 19 Nov 2019
Multi-attention Networks for Temporal Localization of Video-level Labels Lijun Zhang Srinath Nizampatnam Ahana Gangopadhyay Marcos V. Conde 30 7 0 15 Nov 2019