Daniel Haehn PRO
Hi, I am a biomedical imaging and visualization researcher who investigates how computational methods can accelerate biological and medical research.
MACHINE
PSYCHOLOGY
We study natural and artificial neural networks.
Lex Fridman
1984
IEEE Vis 2018
Cleveland and McGill 1985
Jesse Freeman
Aswin Vasudevan
Adolescent Brain Cognitive Development
The ABCD Study is the largest long-term study of brain development and child health in the United States.
> 10k children
> 30k scans
Loraine Franke
PacificVis 2021
MICCAI 2020
Mitochondria
Use
for Alignment
Yahiya Hussain
Gianna Yang
+
Auto-Encoder to find patterns in sequential genome data
Interactive ROI selection
EuroVis 2020
The Oregon-Massachusetts Mammography Database
Bits to Bytes
Daniel Haehn
Nurit Haspel
Alexey Tonyushkin
Marc Pomplun
Dan Simovici
Bill Lotter
Greg Sorensen
$750k
Haehn et al.: The Oregon-Massachusetts Mammography Database (OMAMA-DB)
World's Largest Publicly-Available Annotated Mammography Dataset
70,000 imaging studies with ground truth labels
acquired data over 9 years
GE (63%), Hologic (37%)
50,000 mammograms
20,000 tomosynthesis
no tomosynthesis
> 95% Hologic
proprietary
Haehn et al.: The Oregon-Massachusetts Mammography Database (OMAMA-DB)
manual annotation of 70,000 studies is not feasible
Intelligent Annotation Framework
Two Artificial Neural Networks..
..work together for Quality control
Discriminator finds error pattern of Classifier
Haehn et al.: The Oregon-Massachusetts Mammography Database (OMAMA-DB)
GPU Compute: 2x NVIDIA DGX A100
CS410 Student Project
Freddy Mansour + team
MACHINE
PSYCHOLOGY
Machine Psychology 2021
By Daniel Haehn
Machine Psychology 2021
Machine Psychology at UMass Boston. See https://mpsych.org!
