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