NeurIPS 2025 Past Computer vision
NeurIPS 2025 Workshop for Imageomics: Discovering Biological Knowledge from Images Using AI
NeurIPS 2025 Workshop Imageomics
- Submission deadline
- Sep 29, 2025, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (53)
Fetched from OpenReview (v2) on 2026-06-10.
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A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
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A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level
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A Survey on Computational Pathology Foundation Models
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Adapting Pretrained Vision Transformers from 2D to 3D for Cryo-ET Classification
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Advancing Fluorescence Detection and Ranging in Scattering Media with Mixture-of-Experts and Evidential Critics
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Artificial Intelligence for Spatial Transcriptomics: A Scoping Review of Architectures and Models
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BarcodeMamba+: Advancing State-Space Models for Fungal Biodiversity Research
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BeetleFlow: An Integrative Deep Learning Pipeline for Beetle Image Processing
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Benchmarking Parameter Efficient Adaptation of Vision Language Models on Pathology
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BenthicNet: A global compilation of seafloor images for deep learning applications
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Beyond Conventional Transformers: A Medical X-ray Attention Block for Improved Multi-Label Diagnosis
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Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics
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BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
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BugSR: Improving Tiny Instance Segmentation on the MassID45 Dataset
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ChannelSFormer: A Channel Agnostic Vision Transformer for Multi-Channel Cell Painting Images
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Coarse-to-Fine 3D MRI Reconstruction via 3D Neural Operators
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Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery
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Continually Adapt or Not (CAN)? A Continual Learning Benchmark of Camera Trap Species Classification over Time
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DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision
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DeepTracer Diffusion: A Single‐Stage Diffusion Model for Accurate Cryo-EM Backbone Segmentation
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DentalNet: Geometric Aware Multi-View Transformer for Occlusion Grade Prediction in Dental 3D Scans
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Detection in Progress - A Multimodal Segmentation-based Approach for Predicting Glioblastoma Recurrence
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Distortion-Free Registration of Whole-Slide Images via Tile-Based Refinement
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Embedding cell state dynamics via contrastive learning of representations of 3D dynamic imaging datasets
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Evaluating the Utility of Sparse Autoencoders for Interpreting a Pathology Foundation Model
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Exploring simulators for particle picking in cryo-electron tomography
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FaceTTD: Time-to-Death from Imageomic Facial Time Series for Rapid Mortality Risk Profiling and Longevity Interventions
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From Pixels to Pregnancies: AI-Driven Oocyte Grading for Scalable Livestock Breeding
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Geometric Shape Matching for Explainable and Accurate Medical Image Segmentation: A Post-Processing Refinement Framework
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Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
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Hybrid Diffusion Model for Breast Ultrasound Image Augmentation
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Hyperbolic Few-Shot Learning for Taxonomic Plant Classification
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Hyperbolic Multimodal Representation Learning for Biological Taxonomies
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Investigating dynamics of Neural Cellular Automata applied to image data in diverse complex systems
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L$^3$Seg: $\underline{\mathrm{L}}$ean $\underline{\mathrm{L}}$inear $\underline{\mathrm{L}}$ayers for Language-Guided Vision Transformer in Medical Image Segmentation
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Label-free biochemical imaging of neural organoids via deep learning-enhanced Raman microspectroscopy
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Leveraging Model-Generated Annotations for Nuclei Segmentation in Computational Pathology
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Mapping Cell Morphology to a Standard Coordinate System for Analyzing Dynamic Cell Signaling
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MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
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Mind the (Data) Gap: Evaluating Vision Systems in Small Data Applications
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Novel Finetuning Strategies for Adapting Biomedical Vision Language Models to Organ-Centered Pathology Microscopy Tasks
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On Thin Ice: Towards Explainable Conservation Monitoring via Attribution and Perturbations
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Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
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Probing the lighting sensitivity of image encoders with repeat drone imagery: A case study of plant height estimation
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ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
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Saliency Guided Longitudinal Medical Visual Question Answering
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Scalable Rigid-Invariant Distance for Shape Matching and Alignment
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Simulation-based inference of yeast centromeres
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SmartWilds: Multimodal Wildlife Monitoring Dataset
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Structural MRI–Informed Multimodal Fusion for Robust Alzheimer’s Disease Prediction
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Toward Generalizable Whole Brain Representations with High-Resolution Light-Sheet Data
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Trait2Vec: Ontology-aware embeddings for organismal trait descriptions
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Vision Transformer Autoencoders for Unsupervised Representation Learning: Revealing Novel Genetic Associations through Learned Sparse Attention Patterns