Lichtman Lab

Lichtman Lab

Interactive Proofreading

IEEE Vis 2014

Correcting Split Errors

Correcting Merge Errors

Pixel-wise Painting

Multi-User Support

Interactive Proofreading

Finding errors takes a long time

Guided Proofreading

CVPR 2018

Guided Proofreading

Guided Proofreading

CVPR 2019

Submitted to ECCV 2020

Intelligent Annotation Framework

Two Artificial Neural Networks..

..work together for Quality control

Discriminator finds error pattern of Classifier

post-training optimization of GP acc.

from 0.5982 to 0.9087

Mitochondria

Use

for Alignment

Yahiya Hussain

MIDL 2020

Auto-Encoder to find patterns in sequential genome data

Interactive ROI selection

EuroVis 2020

1984

IEEE Vis 2018

77°

0.856

[0.2, 0.14, 0.6, 0.8]

2500+ networks

Jesse Freeman

Alex Abel

Bau et al.

Network Dissection

LNQ

By Daniel Haehn

LNQ

Machine Psychology at UMass Boston. See https://mpsych.org!

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