A new principle for choosing regularization parameter in certain inverse   problems
  A new parameter choice rule for inverse problems is introduced. This parameter choice rule was developed for total variation regularization in electron tomography and might in general be useful for $L^1$ regularization of inverse problems with high levels of noise in the data. 
Hans Rullg{\aa}rd