User profiles for M. Pfeiffer

Michael Pfeiffer

Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Cited by 8229

Highly efficient organic devices based on electrically doped transport layers

K Walzer, B Maennig, M Pfeiffer, K Leo - Chemical reviews, 2007 - ACS Publications
Most present-day semiconductor devices use inorganic crystalline materials, with single-crystalline
silicon dominating other materials like GaAs by about a factor of 1000. Despite the …

Gland segmentation in colon histology images: The glas challenge contest

…, D Racoceanu, P Kainz, M Pfeiffer, M Urschler… - Medical image …, 2017 - Elsevier
Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

[HTML][HTML] Deep learning with spiking neurons: Opportunities and challenges

M Pfeiffer, T Pfeil - Frontiers in neuroscience, 2018 - frontiersin.org
Spiking neural networks (SNNs) are inspired by information processing in biology, where
sparse and asynchronous binary signals are communicated and processed in a massively …

[PDF][PDF] Severe COVID-19 is marked by a dysregulated myeloid cell compartment

…, A Horne, M Herbert, A Drews, C Thibeault, M Pfeiffer… - Cell, 2020 - cell.com
Coronavirus disease 2019 (COVID-19) is a mild to moderate respiratory tract infection, however,
a subset of patients progress to severe disease and respiratory failure. The mechanism …

Microresonator-based solitons for massively parallel coherent optical communications

…, JN Kemal, M Karpov, A Kordts, J Pfeifle, MHP Pfeiffer… - Nature, 2017 - nature.com
Solitons are waveforms that preserve their shape while propagating, as a result of a balance
of dispersion and nonlinearity 1 , 2 . Soliton-based data transmission schemes were …

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

…, J Binas, M Cook, SC Liu, M Pfeiffer - … joint conference on …, 2015 - ieeexplore.ieee.org
Deep neural networks such as Convolutional Networks (ConvNets) and Deep Belief Networks
(DBNs) represent the state-of-the-art for many machine learning and computer vision …

Unfolding pathways of individual bacteriorhodopsins

F Oesterhelt, D Oesterhelt, M Pfeiffer, A Engel… - Science, 2000 - science.org
Atomic force microscopy and single-molecule force spectroscopy were combined to image
and manipulate purple membrane patches from Halobacterium salinarum. Individual …

Prevalence of clinical and subclinical myocarditis in competitive athletes with recent SARS-CoV-2 infection: results from the big ten COVID-19 cardiac registry

…, D Steele, A Chaudhry, S Smith, M Pfeiffer… - JAMA …, 2021 - jamanetwork.com
M, T2 mapping showing elevated T2 in the midlateral wall in short axis view. N, LGE in the
epicardial midlateral wall in short axis view. IR indicates inferior right view; IRP, inferior, right, …

[PDF][PDF] Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection

…, F Agostini, A Zelezniak, C Thibeault, M Pfeiffer… - Cell systems, 2020 - cell.com
The COVID-19 pandemic is an unprecedented global challenge, and point-of-care
diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput …

MicroRNA expression profiling in prostate cancer

KP Porkka, MJ Pfeiffer, KK Waltering, RL Vessella… - Cancer research, 2007 - AACR
MicroRNAs (miRNA) are small, endogenously expressed noncoding RNAs that negatively
regulate expression of protein-coding genes at the translational level. Accumulating evidence…