Paper Review

1.[Paper Review] Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

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2.[Paper Review] Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology

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3.[Paper Review] Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone

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4.[Paper Review] Self-supervised learning improves dMMR/MSI detection from histology slides across multiple cancers

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5.[Paper Review] Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images

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6.[Paper Review] Deep learning-based survival prediction for multiple cancer types using histopathology images

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7.[Paper Review] Deep learning-based Classification of mesothelioma improves prediction of patient outcome

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8.[Paper Review] WSISA: Making Survival Prediction from Whole Slide Histopathological Images

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9.[Paper Review] Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles

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10.[Paper Review] EPIC-SURVIVAL: End-to-end part inferred clustering for survival analysis, featuring prognostic stratification boosting

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11.[Paper Review] Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer

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12.[Paper Review] Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images

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13.[Paper Review] Predicting Metastasis Risk in Pancreatic Neuroendocrine Tumors Using Deep Learning Image Analysis

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14.[Paper Review] Predicting survival from histology in colorectal cancer using deep learning

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15.[Paper Review] Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

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16.[Paper Review] Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Reccurence Following Prostatectomy in African American Patients

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17.[Paper Review] Understanding Dimensional Collapse in Contrastive Self-Supervised Learning

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18.[Paper Review] How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning

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19.[Paper Review] VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

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20.[Paper Review] When Does Contrastive Visual Representation Learning Work?

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21.[Paper Review] Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (SwAV)

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22.[Paper Review] Bias in Cross-Entropy-Based Training of Deep Survival Networks

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23.[Paper Review] Pan-cancer integrative histology-genomic analysis via multimodal deep learning

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24.[Paper Review] Self supervised contrastive learning for digital histopathology

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25.[Paper Review] Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images

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26.[Paper Review] VICRegL: Self-Supervised Learning of Local Visual Features

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27.[Paper Review] LassoNet: Neural Networks with Feature Sparsity

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28.[Paper Review] Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

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29.[Paper Review] Semi-Supervised Classification with Graph Convolutional Networks

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30.[Paper Review] Inductive Representation Learning on Large Graphs

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31.[Paper Review] Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning

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32.[Paper Review] DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

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33.[Paper Review] RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

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34.[Paper Review] Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

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35.[Paper Review] Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

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36.[Paper Review] Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations (WIP)

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37.[Paper Review] Astrocytes phagocytose adult hippocampal synapses for circuit homeostasis

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38.[Paper Review] Conservative Q-Learning for Offline Reinforcement Learning

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39.[Paper Review] Offline Reinforcement Learning with Implicit Q-Learning

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40.[Paper Review] Mildly Conservative Q-learning for Offline Reinforcement Learning

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41.[Paper Review] The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation

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42.[Paper Review] Geometric Order Learning for Rank Estimation

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43.[Paper Review] Transferring structural knowledge across cognitive maps in humans and models

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44.[Paper Review] Signal-dependent noise determines motor planning

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45.[Paper Review] Decision making, movement planning and statistical decision theory & Statistical decision theory and the selection of rapid, goal-directed movements

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47.[Paper Review] Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

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48.[Paper Review] The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation

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49.[Paper Review] A complexity-based theory of compositionality

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