Morteza Rezanejad (@mo_rezanejad) 's Twitter Profile
Morteza Rezanejad

@mo_rezanejad

Machine learning for good! Currently, senior scientist at @Genmab

ID: 1194642756163002368

linkhttp://mrezanejad.github.io calendar_today13-11-2019 15:46:57

340 Tweet

339 Followers

311 Following

Gabriel Peyré (@gabrielpeyre) 's Twitter Profile Photo

Anisotropic diffusion uses space-varying conductivity to slow down diffusion near edges, resulting in non-isotropic diffusion behavior. en.wikipedia.org/wiki/Anisotrop…

Morteza Rezanejad (@mo_rezanejad) 's Twitter Profile Photo

My iPhone thinks I'm always driving. 🚗 Faster than a walk? Must be a car! Biking? Car. Subway? Underground car. Plane taxiing? Flying car. On a boat? Clearly, I have a water car. 🌊 #iPhoneLogic

Dirk Bernhardt-Walther is on Bluesky (@dirkbwalther) 's Twitter Profile Photo

I'm happy to announce that the companion paper for the Mid-level Vision Toolbox has finally been published! mlvtoolbox.org frontiersin.org/articles/10.33… An inspiring collaboration with Dela Farzanfar, Seohee Han and, Morteza Rezanejad.

Dirk Bernhardt-Walther is on Bluesky (@dirkbwalther) 's Twitter Profile Photo

New paper from our lab by Seohee Han, Morteza Rezanejad and me on the memorability of line drawings out in Memory and Cognition. Spoiler alert, T junctions are really important! rdcu.be/dp2x5

New paper from our lab by Seohee Han, <a href="/mo_rezanejad/">Morteza Rezanejad</a>  and me on the memorability of line drawings out in Memory and Cognition.

Spoiler alert, T junctions are really important!

rdcu.be/dp2x5
Morteza Rezanejad (@mo_rezanejad) 's Twitter Profile Photo

At the start of my presentations on visual perception, I often posed this question, and nearly all attendees would answer it correctly.

At the start of my presentations on visual perception, I often posed this question, and nearly all attendees would answer it correctly.
Peyman Milanfar (@docmilanfar) 's Twitter Profile Photo

Some better than average ideas about means: Arithmetic mean (M) is the average, whereas the geometric mean (m) is the rooted product of n numbers. M dominates m, but they are the same if the numbers are equal M = (x₁+x₂+⋯+xₙ)/n ≥ ⁿ√(x₁⋅x₂⋯xₙ) = m Here's a surprise:

Some better than average ideas about means:

Arithmetic mean (M) is the average, whereas the geometric mean (m) is the rooted product of n numbers. M dominates m, but they are the same if the numbers are equal

M = (x₁+x₂+⋯+xₙ)/n ≥ ⁿ√(x₁⋅x₂⋯xₙ) = m

Here's a surprise:
Augusto Faria Andrade (@augustoitau) 's Twitter Profile Photo

Our paper where we characterize the immune TME of oncohistone gliomas is out Nature Communications. We applied transcriptomic, proteomic and spatial single-cell approaches, and multiple syngeneic mouse models nature.com/articles/s4146… 🧵1/

Morteza Rezanejad (@mo_rezanejad) 's Twitter Profile Photo

I couldn’t be prouder of the incredible team at the Goodman Cancer Institute! Don’t miss the Method of the Year 2024: Spatial Proteomics and its stunning cover. Elham Karimi, Simon Milette @loganawalsh @DanielaQuail.

Genmab (@genmab) 's Twitter Profile Photo

Genmab is proud to share that our colleagues’ research is published in Frontiers in Oncology. The article discusses a new RNA-sequencing data visualization tool - advancing data-driven drug discovery, which allows for informed decision-making in selecting appropriate indications

Genmab is proud to share that our colleagues’ research is published in Frontiers in Oncology.

The article discusses a new RNA-sequencing data visualization tool - advancing data-driven drug discovery, which allows for informed decision-making in selecting appropriate indications