1.1k citations · 5.6k across the 16 of their papers we have counts for
16 papers
Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu +7
Prognostic information at diagnosis has important implications for cancer treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and c…
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Carrie J. Cai, Emily Reif, Narayan Hegde +8
Machine learning (ML) is increasingly being used in image retrieval systems for medical decision making. One application of ML is to retrieve visually similar medical images from p…
Similar Image Search for Histopathology: SMILY
Narayan Hegde, Jason D. Hipp, Yun Liu +11
The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Thou…
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
Timo Kohlberger, Yun Liu, Melissa Moran +6
Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF).…
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald +7
The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in canc…
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer
Kunal Nagpal, Davis Foote, Yun Liu +17
For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scorin…
Detecting Cancer Metastases on Gigapixel Pathology Images
Yun Liu, Krishna Gadepalli, Mohammad Norouzi +10
Each year, the treatment decisions for more than 230,000 breast cancer patients in the U.S. hinge on whether the cancer has metastasized away from the breast. Metastasis detection…
Large Scale Business Discovery from Street Level Imagery
Qian Yu, Christian Szegedy, Martin C. Stumpe +4
Search with local intent is becoming increasingly useful due to the popularity of the mobile device. The creation and maintenance of accurate listings of local businesses worldwide…
Detection of Potential Transit Signals in the First Twelve Quarters of Kepler Mission Data
Peter Tenenbaum, Jon M. Jenkins, Shawn Seader +26
We present the results of a search for potential transit signals in the first three years of photometry data acquired by the Kepler Mission. The targets of the search include 112,3…
The Derivation, Properties and Value of Kepler's Combined Differential Photometric Precision
Jessie L. Christiansen, Jon M. Jenkins, Thomas S. Barclay +11
The Kepler Mission is searching for Earth-size planets orbiting solar-like stars by simultaneously observing >160,000 stars to detect sequences of transit events in the photometric…
Oscillation mode frequencies of 61 main sequence and subgiant stars observed by Kepler
T. Appourchaux, W. J. Chaplin, R. A. Garcia +25
Solar-like oscillations have been observed by Kepler and CoRoT in several solar-type stars, thereby providing a way to probe the stars using asteroseismology. We provide the mode f…
Kepler Presearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction
Jeffrey C. Smith, Martin C. Stumpe, Jeffrey E. Van Cleve +8
With the unprecedented photometric precision of the Kepler Spacecraft, significant systematic and stochastic errors on transit signal levels are observable in the Kepler photometri…
Kepler Presearch Data Conditioning I - Architecture and Algorithms for Error Correction in Kepler Light Curves
Martin C. Stumpe, Jeffrey C. Smith, Jeffrey E. Van Cleve +8
Kepler provides light curves of 156,000 stars with unprecedented precision. However, the raw data as they come from the spacecraft contain significant systematic and stochastic err…
Probing the core structure and evolution of red giants using gravity-dominated mixed modes observed with Kepler
B. Mosser, M. J. Goupil, K. Belkacem +15
We report for the first time a parametric fit to the pattern of the \ell = 1 mixed modes in red giants, which is a powerful tool to identify gravity-dominated mixed modes. With the…
Planetary Candidates Observed by Kepler, III: Analysis of the First 16 Months of Data
Natalie M. Batalha, Jason F. Rowe, Stephen T. Bryson +69
New transiting planet candidates are identified in sixteen months (May 2009 - September 2010) of data from the Kepler spacecraft. Nearly five thousand periodic transit-like signals…
Kepler-20: A Sun-like Star with Three Sub-Neptune Exoplanets and Two Earth-size Candidates
Thomas N. Gautier, David Charbonneau, Jason F. Rowe +41
We present the discovery of the Kepler-20 planetary system, which we initially identified through the detection of five distinct periodic transit signals in the Kepler light curve…