1. Quality Assurance
1.1. RAW project data quality
1.2. individual results QA
2. Certified
3. Data management
3.1. data transfer
3.2. image management
3.3. GDPR, HIPAA
3.4. automatic data tagging
3.5. data workflow management
3.6. MRI, CT, PET?
3.7. other data formats
4. Network
4.1. Project Management ?
4.1.1. multiple projects
4.1.2. different project types
4.1.3. fine-control of available tools and roles in the project
4.2. activity
4.3. single-site
4.4. multi-site
4.5. share
4.6. IRM ?
5. Support
5.1. Technical Support
5.2. Scientific Support
5.3. Training
5.4. Expert QC
5.5. Radiology reading
6. Tools Engine
6.1. single timepoint analysis
6.2. longitudinal analysis
6.3. analysis workflow management
6.4. group level
7. Central Reading
7.1. web-based viewer
7.2. add ROIs, annotations
8. Statistics
8.1. exploratory views
8.2. longitudinal views
8.3. export to SPSS, etc.
9. Operations
9.1. DevOps
9.2. Compliance
9.3. platform v2.0
10. trial recruitment going, how can I accelerate?
10.1. patient triage for trials
10.2. data-drive patient clusters
11. DL engine MVP
11.1. use DL networks as tools
11.2. GPU VMs for training
11.3. GPU VMs for running
11.4. Open-data
12. Open-data
12.1. datasets
12.2. Open data store
13. Developer
13.1. SDK
13.2. developer workflows (versions, devops, ...)
13.3. CLI
14. Data Transfer Integrations
14.1. PACS IN
14.2. v2.0 PACS OUT
14.3. QMENTA app
14.4. python API
15. Brain Tools Store
15.1. App store
15.2. QMENTA tools
15.2.1. TST
15.2.1.1. TST w/ masks
15.2.2. tumor segmentation
15.2.3. psychiatry comparative
15.2.4. gadolinium tool
15.2.5. longitudinal MS tool
15.3. community tools
15.4. partners tools
16. Future Suites
16.1. Q Cloud Platform v2.0
16.1.1. Data management v2.0
16.1.2. data store
16.2. Q Cloud Platform v3.0
16.2.1. Developer v2.0
16.3. DL Suite
16.3.1. clinical viewer for expert input
16.3.2. DL Engine v2.0
16.4. Neurological Suite v2.0
16.4.1. Brain Tools Store
16.4.2. PACS in/out
16.4.3. central reading / basic viewer
16.4.4. MRI, PET, CT, ...
16.5. PIs network
16.5.1. big pharma is interested to know/get contacts with PIs working in disease fields
16.6. Improve Trial Recruitment
16.6.1. Insights
16.6.2. optimization
16.6.3. speed
16.7. Clinical Trial Suite v2.0
16.7.1. Real-time trial status reports
16.7.2. eCRF
16.7.3. EDC
16.7.4. comparative scoring
16.7.5. Central Reading v2.0
16.8. Post-trial tracking
16.8.1. follow imaging in Phase IV
16.9. Neurological Indications
16.9.1. MS
16.9.1.1. MS remyelination
16.9.1.2. lesion segmentation
16.9.1.3. TST
16.9.1.4. 510(k)
16.9.2. Oncology / tumors
16.9.2.1. tumor segmentation (glioma)
16.9.2.2. TST for neurosurgery
16.9.2.3. KOL
16.9.2.4. 510(k)
16.9.3. Neurosurgery
16.9.3.1. tumor segmentation
16.9.3.2. TST
16.9.3.3. v2.0 ROIs defined by user
16.9.3.4. KOL
16.9.3.5. 510(k)
16.9.4. Psychiatry
16.9.4.1. rsfmri
16.9.4.2. normative DB
16.9.4.3. KOL
16.9.4.4. 510(k)
16.9.5. TBI/mild trauma
16.9.5.1. TST
16.9.5.2. normative DB
16.9.5.3. KOL
16.9.5.4. 510(k)
16.10. People's Brains
16.10.1. data management / minimalist view
16.10.2. separate databases imaging / metadata
16.10.3. comparative scoring
16.11. Disease prediction
16.11.1. DL Engine
16.11.2. Normative and disease databases
17. Suites
17.1. Q Cloud Platform v1.0
17.1.1. data management
17.1.2. Tools Engine
17.1.3. Tools Store
17.1.4. SDK
17.1.5. Network
17.1.6. Quality Check
17.1.7. central reading / basic viewer
17.2. Clinical Trial Suite
17.2.1. central reading
17.2.2. Certified
17.2.3. Brain Tools Store
17.2.4. QCP
17.2.4.1. workflow management
17.3. MR safety Suite
17.3.1. Gadolinium tool
17.3.1.1. validated
17.3.1.2. needs 510(k) ?
17.3.1.3. KOL: bayer
17.3.2. longitudinal view
17.3.3. QCP
17.3.3.1. data management
17.3.3.2. network
17.3.3.3. Tools engine
17.4. Neurological Suite
17.4.1. data transfer integrations
17.4.2. Brain Tools Store
17.4.3. MRI, PET, CT, ...
17.4.4. QCP
17.5. Post-trial longitudinal studies
17.5.1. Brain Tools store
17.5.2. on-premise storage / star project ?
17.5.3. group statistics ?
17.5.4. QCP
17.5.4.1. quality check
17.5.4.2. data management
17.5.4.3. network
17.6. Medical Suite
17.6.1. compute engine
17.6.1.1. ? quality check
17.6.1.2. data management
17.6.2. Brain Tools Store: +3rd party FDA tools
17.6.3. Data Transfer Integrations
17.6.4. Certified
17.6.5. ? central reading v2.0
17.6.6. Neurological Indications
17.6.6.1. MS
17.6.6.1.1. remyelination MS tool
17.6.6.1.2. lesion segmentation
17.6.6.1.3. TST
17.6.6.2. Oncology / tumors
17.6.6.2.1. tumor segmentation (glioma)
17.6.6.2.2. TST for neurosurgery
17.6.6.3. Neurosurgery
17.6.6.3.1. tumor segmentation
17.6.6.3.2. TST
17.6.6.3.3. v2.0 ROIs defined by user
17.6.6.4. Psychatry
17.6.6.4.1. rsfmri
17.6.6.4.2. normative DB
17.6.6.5. TBI/mild trauma
17.6.6.5.1. TST
17.6.6.5.2. normative DB
17.6.6.6. Others
17.6.6.6.1. app store
18. Future Modules
18.1. Data Management v2.0
18.1.1. search/query on data tags, dicom headers, ...
18.1.2. pass-through costs
18.1.3. local resources
18.1.3.1. data storage on-premise
18.1.3.2. compute on-premise
18.1.4. user defined dataformats, and processors
18.2. Network v2.0
18.2.1. Role based definition
18.2.2. Role based access
18.2.3. IRM+
18.3. Quality Check v2.0
18.3.1. study dataset QA
18.3.1.1. definition of study protocol
18.3.1.2. highlight outliers, etc.
18.3.2. analysis completeness
18.3.2.1. define and see progress on analysis running, completed, missing, ..
18.3.3. study-level results QA
18.3.3.1. to have an idea of 'outliers'
18.3.4. study-level raw data SNR
18.3.4.1. violin plots, etc showing SNRs, ...
18.4. Data Transfer Integrations v2.0
18.4.1. upload/download connector (box, gdrive, ..)
18.5. Brain Tools Store +
18.5.1. C-PAC
18.5.2. HCP
18.5.3. ASL
18.5.4. pyradiomics
18.5.5. BIDS tools
18.6. Developer v2.0
18.6.1. customizable workflows for 'developer' users
18.6.1.1. visual workflows, CWL, rabbix composer
18.7. DL Engine v2.0
18.7.1. DL distributed across sites
18.8. DL Engine v3.0
18.8.1. Q framework - tensorflow + ..
18.8.2. QC
18.8.3. training
18.8.4. distributing tool
18.9. Central Reading v2.0
18.9.1. clinical viewer 510(k)
18.10. Comparative Scoring
18.10.1. normative DB
18.10.2. lots of Data
18.11. Normative DBs
18.11.1. data harmonization
18.11.1.1. volumetrics
18.11.1.2. diffusion
18.11.2. easier definition of normative DBs by user
18.12. Statistics v2.0
18.12.1. aggregated results and export
18.12.2. groups t-tests, etc.
18.12.3. data-driven groups, for exploration
18.13. RWE
18.13.1. data