Rotation Equivariant CNNs for Digital Pathology

8 June 2018

Papers citing "Rotation Equivariant CNNs for Digital Pathology"

50 / 119 papers shown

Title
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology Mobina Shrestha Bishwas Mandal Vishal Mandal Asis Shrestha VLM 34 0 0 08 May 2025
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Shahad Albastaki Anabia Sohail I. I. Ganapathi B. Alawode Asim Khan Sajid Javed Naoufel Werghi Mohammed Bennamoun Arif Mahmood 71 0 0 26 Apr 2025
CLIP-IT: CLIP-based Pairing for Histology Images Classification Banafsheh Karimian Giulia Avanzato Soufian Belharbi Luke McCaffrey Mohammadhadi Shateri Eric Granger VLM 51 0 0 22 Apr 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization Hao Mark Chen S. Hu Wayne Luk Timothy M. Hospedales Hongxiang Fan MoMe 72 0 0 16 Mar 2025
SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models Dmitry Nechaev Alexey Pchelnikov Ekaterina Ivanova 67 0 0 04 Mar 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 52 1 0 25 Feb 2025
Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin M. Beck Korbinian Poppel Sepp Hochreiter Johannes Brandstetter VLM 64 43 0 24 Feb 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 83 4 0 10 Feb 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation Hao-Zhe Tan Zhi-Hua Zhou Lan-Zhe Guo Yu-Feng Li VLM 95 0 0 30 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 44 0 0 12 Jan 2025
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Sheng Zhang Yanbo Xu Naoto Usuyama Hanwen Xu J. Bagga ... Carlo Bifulco M. Lungren Tristan Naumann Sheng Wang Hoifung Poon LM&MA MedIm 154 208 0 10 Jan 2025
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 87 9 0 26 Nov 2024
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 188 4 2 24 Oct 2024
Parameter Efficient Fine-tuning via Explained Variance Adaptation Fabian Paischer Lukas Hauzenberger Thomas Schmied Benedikt Alkin Marc Peter Deisenroth Sepp Hochreiter 42 4 0 09 Oct 2024
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts Minh Le Chau Nguyen Huy Nguyen Quyen Tran Trung Le Nhat Ho 44 5 0 03 Oct 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 46 30 0 01 Aug 2024
Scaling Backwards: Minimal Synthetic Pre-training? Ryo Nakamura Ryu Tadokoro Ryosuke Yamada Tim Puhlfürß Iro Laina Christian Rupprecht Walid Maalej Rio Yokota Hirokatsu Kataoka DD 32 2 0 01 Aug 2024
Multi-Modal Generative Embedding Model Feipeng Ma Hongwei Xue Guangting Wang Yizhou Zhou Fengyun Rao Shilin Yan Yueyi Zhang Siying Wu Mike Zheng Shou Xiaoyan Sun VLM 39 3 0 29 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi Anton Van Den Hengel VLM 43 1 0 27 May 2024
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision Ankit Vani Bac Nguyen Samuel Lavoie Ranjay Krishna Aaron Courville 39 1 0 24 Apr 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 43 0 0 23 Feb 2024
Self-supervised Visualisation of Medical Image Datasets I. V. Nwabufo Jan Niklas Böhm Philipp Berens D. Kobak 42 0 0 22 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 42 14 0 21 Feb 2024
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 34 22 0 09 Jan 2024
RudolfV: A Foundation Model by Pathologists for Pathologists Jonas Dippel Barbara Feulner Tobias Winterhoff Timo Milbich Stephan Tietz ... David Horst Lukas Ruff Klaus-Robert Muller Frederick Klauschen Maximilian Alber 36 29 0 08 Jan 2024
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 33 2 0 09 Nov 2023
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology Peixiang Huang Songtao Zhang Yulu Gan Rui Xu Rongqi Zhu Wenkang Qin Limei Guo Shan Jiang Lin Luo 38 4 0 31 Oct 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models Christian Harder Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay 30 0 0 25 Oct 2023
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track Shuhei Yokoo Peifei Zhu Yuchi Ishikawa Mikihiro Tanaka Masayoshi Kondo Hirokatsu Kataoka 24 0 0 23 Oct 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels Henry Hengyuan Zhao Pichao Wang Yuyang Zhao Hao Luo F. Wang Mike Zheng Shou ViT 37 14 0 15 Sep 2023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems Momojit Biswas Himanshu Buckchash Dilip K. Prasad SSL 26 7 0 14 Aug 2023
Distributionally Robust Classification on a Data Budget Ben Feuer Ameya Joshi Minh Pham C. Hegde OOD 37 2 0 07 Aug 2023
Quilt-1M: One Million Image-Text Pairs for Histopathology Wisdom O. Ikezogwo M. S. Seyfioglu Fatemeh Ghezloo Dylan Stefan Chan Geva Fatwir Sheikh Mohammed Pavan Kumar Anand Ranjay Krishna Linda G. Shapiro CLIP VLM 141 115 0 20 Jun 2023
PILLAR: How to make semi-private learning more effective Francesco Pinto Yaxian Hu Fanny Yang Amartya Sanyal 52 11 0 06 Jun 2023
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images Agnes Barsi S. Nayak S. Parida R. Shukla MedIm 23 10 0 11 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 33 2 0 09 May 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 30 3 0 10 Apr 2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models Ximeng Sun Pengchuan Zhang Peizhao Zhang Hardik Shah Kate Saenko Xide Xia VLM 25 20 0 31 Mar 2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale Quan-Sen Sun Yuxin Fang Ledell Yu Wu Xinlong Wang Yue Cao CLIP VLM 81 470 0 27 Mar 2023
Medical diffusion on a budget: textual inversion for medical image generation B. D. Wilde A. Saha R. T. Broek Henkjan Huisman DiffM MedIm 42 15 0 23 Mar 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 27 11 0 13 Mar 2023
Rethinking Visual Prompt Learning as Masked Visual Token Modeling Ning Liao Bowen Shi Xiaopeng Zhang Min Cao Junchi Yan Qi Tian VLM 34 7 0 09 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 36 0 0 08 Mar 2023
Learning Visual Representations via Language-Guided Sampling Mohamed El Banani Karan Desai Justin Johnson SSL VLM 26 28 0 23 Feb 2023
Revisiting Hidden Representations in Transfer Learning for Medical Imaging Dovile Juodelyte Amelia Jiménez-Sánchez V. Cheplygina OOD 19 1 0 16 Feb 2023
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset Maxime W. Lafarge V. Koelzer 32 1 0 03 Jan 2023
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 44 59 0 14 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision models Sachin Goyal Ananya Kumar Sankalp Garg Zico Kolter Aditi Raghunathan CLIP VLM 50 138 0 01 Dec 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 44 17 0 15 Nov 2022