2026-07-06
The team is hosting a two-day BisQue Deep Learning Workshop 2026 at UC Santa Barbara on July 9–10, 2026, bringing together researchers from UC Santa Barbara, the Smithsonian's National Zoo & Conservation Biology Institute, UC Riverside, Stanford, Ohio State, the University of Arizona, and Google. The program focuses on advancing automated wildlife-detection workflows in BisQue, with sessions covering data upload and annotation, model selection and evaluation, uncertainty estimation, remote-sensing applications, and LLM-assisted analysis with BisQue Ultra, the platform's... Read more
2026-01-10
A deep-learning tool for detecting methane plumes in airborne hyperspectral imagery, using a spectral-absorption-aware transformer (UCSB VRL, CVPR 2023). Its Methane HotSpot (MHS) dataset, the largest public methane dataset is browsable directly in BisQue.
2026-05-05
A new materials-science module, Micrograph Matcher (Match Any Imagery), lets researchers match micrographs directly in the browser — paired with the AmalgaMatch dataset, now hosted on BisQue in a browsable, visualizable format that you can explore in the web app or download in full.
2025-02-02
The team hosted a full-day BisQue Deep Learning Workshop 2025 at UC Santa Barbara on February 12, 2025, gathering PIs, students, collaborators, and external advisory board members for research presentations, live demos, and discussions on long-term sustainability.
2025-01-01
A new deep learning module for Normal Pressure Hydrocephalus (NPH) prediction is now deployed on BisQue, using an adapted Segment Anything Model to segment brain CT scans — improving segmentation accuracy by 15% for ventricles and 19.1% for the subarachnoid space over the prior UNet model.
2025-01-02
A new 3D defect-segmentation bisque module automates detection of voids and inclusions during serial sectioning of metals and alloys, removing a manual, time-consuming step before EBSD analysis in materials characterization workflows.
2022-02-08
We are co-organizing a computational challenge at the ICLR 2022 workshop of geometry and topology. The goal is to push forward the field of computational differential geometry by asking participants to contribute statistics and learning algorithms on manifolds.
The guidelines of the challenge can be found on its GitHub repository.
The deadline is April 4th, 2022.
Would you know people who could be interested in participating in the challenge? It can be a good opportunity... Read more
2021-11-17
BisQue 2 has recently launched with a beta release! This new version of BisQue has a new storage backend and fully runs on Kubernetes. Active BisQue users should begin migrating any data stored on BisQue to BisQue 2, as BisQue will eventually be deprecated.
2021-11-15
Despite vaccines being readily available for almost every age group, Covid-19 still remains a fatal disease if not detected early enough. As such, two Covid-19 detection modules are making their way to BisQue's cloud platform in the near future. One module will perform processing and classification on 3D lung CT scan volumes to determine if a patient is healthy, has Covid-19, or has pneumonia. The other detection module will analyze chest X-rays and output bounding boxes around abnormalities found in the X-rays.
2021-11-15
Normal Pressure Hydrocephalus (NPH) is a disorder in which ventricles in the brain swell from an accumulation of excess cerebrospinal fluid. This disorder can lead to difficulty in walking, thinking, and other daily functions. Like Alzheimer's and Parkinson's disease, NPH affects the elderly but is often misdiagnosed. As such, a NPH detection module has been integrated into the BisQue cloud platform. This module performs image segmentation on brain CT scans to locate and identify the volume of brain ventricles and ultimately provide a fast method to properly diagnose multitudes of patients.
2021-11-01
The BioShape lab has been awarded an NIH R01 grant for biological shape reconstruction. The lab aims to introduce geometric and deep learning methods to enhance 3D biological shape reconstruction.
Collaborators:
Cornelius Gati - University of Southern California
Khao Dao Duc - University of British Colombia
Frédéric Poitevin - Stanford SLAC
Claire Donnat - University of Chicago... Read more
2021-11-01
BisQue has now moved its entire orchestration system to align with the latest software trends for distributed systems. With the move to Kubernetes, BisQue is now highly available (fault tolerant) and scalable across multiple nodes. We achieved this by taking advantage of the Kubernetes control loop that constantly checks the defined state of our deployment. If any of our pods or nodes fail, resources are rescheduled automatically to match BisQue’s desired state. GPU nodes are now labeled and can have jobs that require GPU resources scheduled on those nodes without any manual interaction. This... Read more
2020-02-01
An accurate 3D cell segmentation module utilizing a 3D U-Net based neural network, a 3D watershed algorithm applied to a probability map, and CRF refinement has been integrated into the BisQue cloud platform.
2017-12-26
UCSB researchers given the award from NSF’s Office of Advanced Cyberinfrastructure to build a large-scale distributed image-processing infrastructure (LIMPID) through a broad, interdisciplinary collaboration. Encompassing databases, image analysis and various scientific disciplines, their creation, BisQue, is an image informatics platform that shares, distributes and collaborates with large image datasets.
“Think of BisQue as Google Docs for scientific images,” said UCSB principal investigator B. S. Manjunath, who directs the campus’s Center for Multimodal Big Data Science and Healthcare. “... Read more
2020-02-02
The center we will be hosting the second LIMPID/BisQue workshop on Scalable Image Informatics. This is a joint meeting with the workshop on Applications of Machine Learning and Scalable Image Informatics to Materials Discovery, held as part of the NSF-sponsored IDEAS program on Data-Driven Approaches to Materials Discovery, at the University of California at Santa Barbara. Participation is by invitation only and we are expecting over 80 registered participants.
The three day joint workshop will take place at UCSB from February 3-5, 2020. The workshop will start at 8:00 AM on Monday, February... Read more
2026-07-14
2026.07 Research Release
A scientific AI workbench for data, models, and evidence.
BisQue Ultra connects complex scientific data, tool-guided computation, durable analysis, and evidence-gated model operations in one inspectable research environment.... Read more